Tatari is building the infrastructure to modernize TV advertising for Brands, Agencies, and Publishers. Clients include Made In, Daily Harvest, Wpromote, and Fubo. Recognized by Business Insider as one of the Hottest Ad Tech Companies of 2021, Tatari is headquartered in San Francisco with further offices in Los Angeles and New York. For additional information, please visit tatari.tv

Industry: Advertising Services
Company Size: 51-200 employees

Tatari

Savvy Admin PROD

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including ~~Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V ~~., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual ~~MarTech Breakthrough Awards ~~, as well as honors from ~~Digiday ~~ (Best Connected TV Platform), ~~AdExchanger ~~ (Most Innovative TV Advertising Technology), and ~~Business Insider ~~(Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by ~~Inc. Magazine ~~. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We’re looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You’ll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we’re looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You’ll play a central role in shaping how AI shows up in our product and how the team behind it grows.

**Responsibilities: **

- Manage and grow a team of data scientists focused on AI/ML product development

- Facilitate the team’s design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities

- Empower the team to innovate and explore new methodologies and improve upon existing algorithms

- Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features

- Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery

- Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload

- Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery

- Assess and mitigate risks to delivery, owning accountability for downstream business impacts

- Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value

- Develop lightweight but effective team processes to support fast iteration and scalable AI delivery

- Conduct performance reviews, coach team members, and support career growth planning for direct reports

- Contribute to hiring and onboarding efforts for the team

**Qualifications: **

- Master’s degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)

- Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment

- Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders

- Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis

- Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science

- Proven ability to lead through ambiguity and move from 0→1 with new features or systems

- Advanced knowledge of statistics and probability, particularly their application in model development

- Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits

- Nice to have:

- PhD in a technical field

- Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems – with a successful track record of end-to-end implementation.

- TV Media Industry or Ad Tech experience a plus

**Benefits: **

- Competitive salary ($140,000 - $180,000/annually)

- Equity compensation

- Health insurance coverage for you and your dependents

- 401K, FSA, and commuter benefits

- $150 monthly spending account

- $1,000 annual continued education benefit

- $500 WFH reimbursement

- Unlimited PTO and sick days

- Monthly Company Wellness Day Off

- Snacks, drinks, and catered lunches at the office

- Team building events

- Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

Data Science Manager

HCA Healthcare is dedicated to giving people a healthier tomorrow. 

As one of the nation’s leading providers of healthcare services, HCA Healthcare is comprised of 188 hospitals and 2,400+ sites of care in 20 states and the United Kingdom. In addition to hospitals, sites of care include surgery centers, freestanding ERs, urgent care centers, diagnostic and imaging centers, walk-in clinics and physician clinics.

Many things set HCA Healthcare apart from other healthcare organizations; however, at our core, our greatest strength is our people. Every day, more than 290,000 colleagues go to work with a collective focus: our patients. Our focus positively impacts the care experience at the bedside and beyond.

We are proud of the impact we have in our communities through employment, investment and charitable giving. 

HCA Healthcare is a learning health system that uses our approximately 37 million annual patient encounters to advance science, improve patient care and save lives. At HCA Healthcare, we are excited about the future of medicine. We believe we are uniquely positioned to play a leading role in the transformation of care.

Note: Be alert for fraudulent job postings, emails, and phone calls. HCA Healthcare will never send you money or ask you to send money during the interview or hiring process.

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

HCA Healthcare

Introduction

Do you want to join an organization that invests in you as a Data Science Manager? At HCA, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.

**Benefits**

HCA offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

- Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.

- Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.

- Free counseling services and resources for emotional, physical and financial wellbeing

- 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)

- Employee Stock Purchase Plan with 10% off HCA Healthcare stock

- Family support through fertility and family building benefits with Progyny and adoption assistance.

- Referral services for child, elder and pet care, home and auto repair, event planning and more

- Consumer discounts through Abenity and Consumer Discounts

- Retirement readiness, rollover assistance services and preferred banking partnerships

- Education assistance (tuition, student loan, certification support, dependent scholarships)

- Colleague recognition program

- Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)

- Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn More About Employee Benefits

~~Note: Eligibility for benefits may vary by location.~~

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Data Science Manager WFH like you to be a part of our team.

**Job Summary And Qualifications**

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team.

This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience.

What You'll Do:

- AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery.

- FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments.

- CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional)

- LEADERSHIP: Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms.

- STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.

- DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&I.

- PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise.

What qualifications you will need:

- Bachelor’s Degree in Computer Science or related field

- 4+ years of overall experience in various aspects of data science and machine learning with demonstrated progressive responsibilities; particularly in Predictive Modeling, Optimization and/or Operations Research

- Expert experience in SQL and Python

- Experience with structured and unstructured data (ie. tabular, text, images, video, etc)

- Experience with SQL relational and non-relational databases

- Experience with data processing and ETL tools (e.g Apache Spark)

- Experience with data visualization and data monitoring tools

- Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker

- Experience with cloud deployments in GCP or another cloud platform

- Experience with Agile development methods and tools (e.g. Azure Dev Ops)

- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders

- Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams

- Ability to tell a story using data and insights that drives action and change

- Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness

**Preferred Requirements**

- Masters/PhD Degree in Computer Science or related field

- Healthcare domain knowledge and experience

- Strong project management skills with the ability to manage multiple projects simultaneously

- Agile Delivery, Product Management or Scrum Master certifications

- Experience managing and unblocking teams in GCP platform

Work Location/Schedule:

- Must reside in or be willing to relocate to Nashville, TN, Orlando, FL, or Austin, TX

- WFH: M-F

Travel:

- The job may require travel from time-to-time, but not on a regular basis.

Visa Sponsorship:

- Not Offered

"Good people beget good people."- Dr. Thomas Frist, Sr.

HCA Healthcare Co-Founder

We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Data Science Manager WFH opening. Qualified candidates will be contacted for interviews.Submit your resume today to join our community of caring!

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

**Job Summary and Qualifications **

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team.

This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience.

**What You'll Do: **

- AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery.

- FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments.

- CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional)

- LEADERSHIP: Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms.

- STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.

- DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&I.

- PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise.

**What qualifications you will need: **

- Bachelor’s Degree in Computer Science or related field

- 4+ years of overall experience in various aspects of data science and machine learning with demonstrated progressive responsibilities; particularly in Predictive Modeling, Optimization and/or Operations Research

- Expert experience in SQL and Python

- Experience with structured and unstructured data (ie. tabular, text, images, video, etc)

- Experience with SQL relational and non-relational databases

- Experience with data processing and ETL tools (e.g Apache Spark)

- Experience with data visualization and data monitoring tools

- Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker

- Experience with cloud deployments in GCP or another cloud platform

- Experience with Agile development methods and tools (e.g. Azure Dev Ops)

- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders

- Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams

- Ability to tell a story using data and insights that drives action and change

- Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness

**Preferred Requirements **

- Masters/PhD Degree in Computer Science or related field

- Healthcare domain knowledge and experience

- Strong project management skills with the ability to manage multiple projects simultaneously

- Agile Delivery, Product Management or Scrum Master certifications

- Experience managing and unblocking teams in GCP platform

**Work Location/Schedule: **

- Must reside in or be willing to relocate to Nashville, TN, Orlando, FL, or Austin, TX

- WFH: M-F

**Travel: **

- The job may require travel from time-to-time, but not on a regular basis.

**Visa Sponsorship: **

- Not Offered

RemoteHunter is your dedicated AI job search assistant, turning the job hunt from a slow, individual effort into a quicker, smarter, and guided experience by streamlining each step of the process and speeding up your path to the right career opportunities.

Industry: Software Development
Company Size: 11-50 employees

RemoteHunter

1. About Our Client:

The organization operates in the technology space supporting restaurants and local businesses in their digital transformation. It addresses challenges faced by these businesses in managing operations, increasing sales, engaging customers, and retaining employees. By leveraging extensive data on restaurant transactions, payments, and orders, the program delivers technology solutions that impact multiple product lines including commerce, hardware, and guest experience. The company emphasizes AI and machine learning as key tools to drive innovation and business value in this industry.

2. About the Opportunity:

The Senior Manager, Data Science and Machine Learning will lead the Data & AI team to develop and implement machine learning solutions that generate measurable business impact. This role involves setting strategic direction for AI-enabled products, collaborating across research and development, and guiding data scientists and ML engineers to deliver innovative solutions. The position is critical in translating complex AI initiatives into actionable outcomes that support growth and operational efficiency.

3. Responsibilities:

• Lead and influence cross-functional partners to create business value through ML and AI

• Collaborate with product and engineering teams to define AI product strategies

• Coordinate with leaders in Data Science, ML Engineering, and Platform teams to execute the ML platform vision

• Decompose large ML projects into manageable components to enable incremental delivery

• Mentor and coach data scientists and ML engineers to support their career development

• Integrate current data science best practices within the team

• Expand and enhance the AI product portfolio

• Maintain focus on key goals in a dynamic and evolving environment

4. Requirements:

• Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering, or related fields

• Minimum 5 years of leadership experience in Data Science and ML Engineering teams

• Proven track record deploying machine learning solutions in large-scale production environments

• Strong foundation in statistics and machine learning mathematics

• Expertise in AI/ML disciplines such as computer vision or natural language processing

• Experience with ML libraries including Scikit-learn, TensorFlow, and PyTorch

• Knowledge of machine learning fundamentals including algorithm types, AB testing, hypothesis testing, and optimization

• Ability to work with cross-functional teams to evaluate ML opportunities

• Strong written and verbal communication skills, capable of presenting to senior leadership

• Experience mentoring and growing data science teams

5. Pay Range and Compensation Package:

• Zone A $230,000—$368,000 USD

• Zone B $200,000—$320,000 USD

• Zone C $180,000—$288,000 USD

• The starting salary will be based on skills, experience, and geographic location

• Additional compensation includes cash bonuses, equity, and benefits

6. Benefits & Perks:

• Competitive compensation and benefits designed to attract and retain talent

• Flexible work arrangements supporting a healthy lifestyle

• Hybrid work model fostering in-person collaboration and individual needs

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

Senior Manager, Data Science and Machine Learning

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Industry: Business Consulting and Services
Company Size: 10,001+ employees

Deloitte

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.

We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.

Recruiting for this role ends on 5/31/2026.

**Work You'll Do**

As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.

Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.

-  Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements

-  Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production

-  Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications

-  Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests

-  Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.

-  Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development

**The Team**

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

**Qualifications:**

-  Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)

-  6+ years of experience working in data science, data engineering, software engineering, or MLOps

-  6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models

-  6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)

-  6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms

-  4+ years of experience managing teams and delivering complex and critical projects

-  Live within commuting distance to one of Deloitte's consulting offices

-  Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

-  Limited immigration sponsorship may be available

**Preferred Qualifications:**

-  Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio

-  Experience with developing and testing GenAI solutions for healthcare or life sciences

-  Experience in a client-facing role

-  Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

#MonitorDeloitte, #DeloitteJobs, #StrategyConsulting, #DeloitteStrategy, #Strategy26, #SFL26

Data Science Manager, Life Sciences & Healthcare - SFL Scientific

The Home Depot, the world’s largest home improvement specialty retailer, values and rewards dedicated, knowledgeable, and experienced professionals.

We operate over 2,200 retail stores in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, Canada, and Mexico. All of our associates have one thing in mind — helping our customers build and improve their homes. 

Join The Home Depot team today and see for yourself why we are consistently ranked as a top Fortune 500 company.

Industry: Retail
Company Size: 10,001+ employees

The Home Depot

Req174273

**Position Purpose**

The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

**Key Responsibilities**

- 50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments

- 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs

- 25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management

- 10% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged

**Direct Manager/Direct Reports**

- This position reports to Director or above

- This position has Direct Reports and manages programs

**Travel Requirements**

- Typically requires overnight travel 5% to 20% of the time.

**Physical Requirements**

- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

**Working Conditions**

- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

**Minimum Qualifications**

- Must be eighteen years of age or older.

- Must be legally permitted to work in the United States.

- Demonstrated proficiency in predictive modeling, data mining and data analysis

- Proficient managing and growing team members in a professional setting

- Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting

- Demonstrated experience with translating high level strategy to tactical execution

**Preferred Qualifications**

- 11+ years of experience in business intelligence and analytics

- Previous people or project team management experience

- Demonstrated expertise in predictive modeling, data mining and data analysis

- Mastery running queries against data (preferably with Google BigQuery or SQL)

- Proficient with data visualization software (preferably Tableau)

- Mastery utilizing statistical techniques to identify key insights that help solve business problems

- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP

**Minimum Education**

- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

**Preferred Education**

- No additional education

**Minimum Years Of Work Experience**

- 10

**Preferred Years Of Work Experience**

- No additional years of experience

**Minimum Leadership Experience**

- None

**Preferred Leadership Experience**

- None

**Certifications**

- None

**Competencies**

- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs

- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals

- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization

- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals

- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

- Develops Talent: Developing people to meet both their career goals and the organization's goals

- Directs Work: Provides direction, delegating and removing obstacles to get work done

- Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives

- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action

- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity

- Interpersonal Savvy: Relating openly and comfortably with diverse groups of people

- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics

- Persuades: Using compelling arguments to gain the support and commitment of others

- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Data Science Senior Manager - Generative BI

It's simple, we believe life is more fun when you're in on the action. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences.

At DraftKings, The Crown Is Yours. 

We are driven by the thrill of the future and the pull of possibility. As an original, continuous gamechanger, we’re shaping the present and future of sports entertainment and digital experiences, leading the way into new markets with new products, and providing the ultimate experience to our customers. 

Here, we believe in the power and impact that comes from innovation, collaboration, and a winning culture. We’re a strong and dedicated global team of 4,000+ teammates driven to achieve great things. From your very first day, you’ll be part of an amazing culture that welcomes your ideas, champions your growth, and values you for you. 

Ready to own what’s next?

Industry: Mobile Gaming Apps
Company Size: 1,001-5,000 employees

DraftKings Inc.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Data Science Manager, you drive strategy and execution to power personalized experiences for millions of customers. You'll lead a team of data scientists and machine learning engineers, guiding projects from concept through production and delivering scalable, high-performing machine learning systems. In this role, you'll work closely with our Product, Engineering, Marketing, and Revenue teams to align priorities and drive measurable impact. Beyond execution, you'll set strategic direction, foster a culture of innovation, and raise the technical standards across the organization.

What You'll Do

- Manage, coach, and grow a team of data scientists and engineers focused on delivering impactful personalization initiatives.

- Guide your team through the Model Development Lifecycle (SDLC), championing technical rigor and engineering best practices.

- Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions.

- Foster a team culture of collaboration, experimentation, and continuous improvement.

- Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development.

- Set strategic priorities and align your team’s roadmap with larger business goals and outcomes.

- Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing.

- Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities.

What You'll Bring

- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred.

- At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role.

- Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments.

- Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles.

- Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks.

- Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring.

- Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives.

- Experience in the gaming industry or a related domain is a strong plus.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Data Science Manager, Marketing

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Industry: Software Development
Company Size: 10,001+ employees

Amazon

**Description**

As a Data Science Manager (DSM), you will lead a team of economists, scientists, and data engineers working to solve complex scientific problems that have high business and customer impact. You will be responsible for building structural and predictive models, leveraging data science workflows, and driving innovations that deliver measurable results for Amazon customers.

Key job responsibilities

-  Leadership & Team Management: Independently manage and develop a diverse science team, creating an environment that enables consistent delivery and innovation; Build and maintain a high-performing team that can operate effectively and autonomously; Drive strategic growth opportunities for team members, providing paths to demonstrate higher-level scope, impact, and leadership; Establish clear performance metrics and audit mechanisms to track and communicate team progress; Foster a team culture focused on bringing research to production and delivering customer value

-  Technical & Scientific Direction: Partner with stakeholders and leadership to define and execute the scientific vision for your team; Lead the development of structural and predictive models, leveraging emerging technologies and novel features; Drive the implementation of data science workflows and simulation frameworks; Bridge the gap between science, technology, and business requirements; Leverage the broader Amazon scientific community to enhance team capabilities and knowledge sharing

-  Strategic Planning & Execution: Define and maintain team structure, strategic direction, and owned technologies; Establish processes that enable consistent delivery and quality of scientific artifacts; Drive reasonable schedules and adjust priorities to ensure optimal outcomes; Create and implement audit mechanisms to track team performance against goals; Remove roadblocks and optimize team productivity

-  Communication & Influence: Create well-written documents to effectively communicate with technical and non-technical audiences; Influence science and analytics practices across the organization; Build strong partnerships with stakeholders across different business units; Present complex scientific findings to senior leadership; Drive adoption of best practices and innovative solutions

**About The Team**

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and UX to develop and deliver solutions that measurably achieve this goal.

**Basic Qualifications**

-  5+ years of building quantitative solutions as a scientist or science manager experience

-  2+ years of scientists or machine learning engineers management experience

-  5+ years of applying statistical models for large-scale application and building automated analytical systems experience

-  PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field

-  Knowledge of Python or R or other scripting language

-  Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

-  Experience in Database like NoSQL, or experience in SQL Server/MySQL and experience in software development

-  Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

-  Experience with data modeling, warehousing and building ETL pipelines

**Preferred Qualifications**

-  Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

-  Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

-  Experience operating large data warehouses

-  Experience hiring, developing, and managing high-performing technical teams

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

**Company ** - Amazon.com LLC

Job ID: A3109136

Data Science Manager, PXT Central Science

The New Relic Intelligent Observability Platform helps businesses eliminate interruptions in digital experiences. New Relic is the only AI-strengthened platform to unify and pair telemetry data to provide clarity over your entire digital estate. We move your problem solving past proactive to predictive by processing the right data at the right time to maximize value and control costs.


That’s why businesses around the world—including Adidas Runtastic, American Red Cross, Domino’s, GoTo Group, Ryanair, Topgolf, and William Hill—run on New Relic to drive innovation, improve reliability, and deliver exceptional customer experiences to fuel growth. Visit: www.newrelic.com.

Industry: Software Development
Company Size: 1,001-5,000 employees

New Relic

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!

**Your opportunity**

As a Lead Data Scientist, you will be a technical cornerstone of the analytics organization, driving the development of advanced data products and machine learning solutions that power strategic decision-making. You will work at the intersection of product, engineering, and strategy to uncover deep insights from our vast telemetry data. In this high-impact individual contributor role, you will set the standard for technical excellence, architect scalable data science frameworks, and mentor junior data scientists, all while solving complex problems in the observability space.

**What You'll Do**

- Lead the design, development, and deployment of advanced ML models and predictive algorithms to solve critical business problems, such as churn prediction, user segmentation, and product usage forecasting.

- Serve as a technical subject matter expert, guiding the team on best practices in statistical analysis, experimentation design, and code quality.

- Partner with PMs and Engineers to translate ambiguous business questions into rigorous data science projects with actionable outcomes.

- Drive the adoption of MLOps best practices, ensuring models are scalable, reproducible, and monitored effectively in production.

- Perform deep-dive analyses on user behavior and product performance to identify opportunities for optimization and growth.

- Mentor and coach other data scientists and analysts, fostering a culture of continuous technical learning and innovation.

- Communicate complex technical findings to non-technical stakeholders through compelling data storytelling and visualization.

**This role requires**

- 7+ years of experience in DS, Statistics, or a related field, with a proven track record of delivering high-impact machine learning solutions.

- Expert-level proficiency in Python for data manipulation, statistical analysis, and model development (pandas, scikit-learn, numpy, etc.).

- Advanced knowledge of SQL for complex data querying and performance optimization.

- Strong hands-on experience with a breadth of modeling techniques, including:

- Supervised learning (Regression, Random Forests, Gradient Boosting like XGBoost/LightGBM)

- Unsupervised learning (Clustering, Dimensionality Reduction)

- Time series forecasting (ARIMA, Prophet)

- Experience with dbt for data transformation and maintaining clean, reliable data pipelines.

- Demonstrated ability to deploy models into production environments and familiarity with MLOps concepts.

- Familiarity with software engineering practices (CI/CD, version control with Git, Jira).

- Strong communication skills, with the ability to influence stakeholders and explain technical concepts to business audiences.

- Expertise in developing or integrating GenAI models or AI agents into product and analytical workflows.

**Bonus points if you have**

- Experience with cloud-based machine learning platforms, specifically AWS SageMaker.

- Background in the observability.

- Advanced degree (Master’s or PhD) in a quantitative discipline.

- Proficiency in data visualization tools (e.g., Tableau, Looker) to democratize insights.

Please note that visa sponsorship is not available for this position.

The pay range below represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant’s skills, qualifications, and experience.

New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, and mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time-off, and other competitive benefits designed to improve the lives of our employees.

Estimated Base Pay Range

$163,000—$204,000 USD

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.

If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com.

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

**Our hiring process**

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.

Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy

Lead Data Scientist

Macy's is America’s store for life. The largest retail brand of Macy's, Inc. (NYSE:M) delivers quality fashion at affordable prices to customers at approximately 640 locations in 43 states, the District of Columbia, Puerto Rico, and Guam, as well as to customers in more than 100 international destinations through leading e-commerce site macys.com. Macy's inspires fashion exploration and discovery through the most desired family of exclusive brands for her, for him, for the home, and via our dynamic mobile and social platforms. We know the power of celebration, demonstrated through decades of memorable experiences created during Macy's 4th of July Fireworks® and Macy's Thanksgiving Day Parade®, as well as spectacular fashion shows, culinary events, flower shows, and celebrity appearances. Macy's flagship stores – including New York City’s Herald Square – are internationally renowned and preeminent destinations for tourists. With the collective support of our customers and employees, Macy's builds community and helps make a difference in every market we serve, supporting local and national charities by giving nearly $50 million each year, plus 146,000 hours of volunteer service. For more than 160 years, Macy’s has, and continues to, make life shine brighter for our customers, colleagues, and communities.

Industry: Retail
Company Size: 10,001+ employees

Macy's

**Be part of an amazing story. **

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

**Job Overview **

The Lead Data Scientist advances Macy’s enterprise data science strategy by leading complex initiatives that transform customer experience and business performance. This role manages group work, mentors data scientists, and partners with senior stakeholders to embed AI-driven solutions into critical workflows. By ensuring scalability and proof of value (POV), the Lead Data Scientist accelerates innovation and delivers measurable outcomes across the organization.

**What You Will Do **

- Lead the design and deployment of advanced data science and AI models for enterprise use cases that solve complex business challenges and influence strategic decisions.

- Guide teams in applying Generative AI and Large Language Models (LLMs) to create intelligent, customer-centric solutions.

- Oversee hypothesis generation, data requirements, and model development to ensure alignment with business priorities.

- Evaluate proof of value (POV) for data science initiatives, determining scalability and pivoting strategies when needed.

- Partner with senior stakeholders to translate analytics into actionable strategies that drive retail innovation.

- Collaborate with Data Engineering and Architecture teams to implement robust, scalable data pipelines and enterprise data assets.

- Ensure responsible AI practices, including governance frameworks and bias mitigation, in all deployed solutions.

- Mentor and develop data scientists, fostering a culture of collaboration, technical excellence, and continuous learning.

- Communicate insights through compelling visualizations and clear storytelling to influence decisions.

- Stay ahead of emerging data science and AI trends to enhance Macy’s capabilities and competitive advantage.

**Skills You Will Need **

- **Technical Acumen **: Proficient in Python, R, SQL, and cloud platforms such as Google Cloud Platform; experienced with big data tools (Spark, Hadoop) and visualization tools (Tableau, Power BI); understands machine learning concepts and generative AI applications.

- **Stakeholder Management **: Builds strong partnerships with business leaders to embed data science into decision-making processes and ensure adoption of solutions.

- **Communication **: Delivers clear, compelling insights through written, verbal, and visual storytelling to diverse audiences.

**Who You Are **

- Brings **5+ years of experience ** applying data science in business environments, including experience leading group work and mentoring others; advanced degree preferred.

- Demonstrates fluency in advanced algorithms, statistical methods, and AI techniques.

- Experienced in regression, clustering, time-series analysis, and machine learning.

- Comfortable influencing senior stakeholders and managing priorities in fast-paced environments.

- Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

Global Connect Technologies is a fast-growing automotive and IT engineering services company based in the USA. 
Our team of proficient and experienced professionals specializes in providing a wide range of services, including automotive embedded product development, software design, development, and testing services.

At Global Connect Technologies Inc., we take pride in our ability to offer qualified consultants with expertise in various automotive technologies such as In-Vehicle-Infotainment, Functional Safety (ISO26262), Advanced Driver Assistance Systems (ADAS), OTA, Cybersecurity, Connected Vehicles, Vehicle Diagnostics, and Autonomous Driving. Our consultants are well-versed with the latest technologies and industry trends, enabling us to provide customized and cutting-edge solutions that meet our clients' needs.

We strive to deliver exceptional services to our clients, and we are committed to providing innovative and practical solutions that help them achieve their goals. Our mission is to drive innovation and progress in the automotive industry, and we achieve this by leveraging our experience, expertise, and dedication to our clients.

Follow our page to stay updated on the latest industry news and insights, and to learn more about our services and expertise.

Industry: Engineering Services
Company Size: 2-10 employees

Global Connect Technologies

**Job Description: **

We are seeking a hands-on Data Scientist (CSW) to develop analytics and machine learning solutions using large and complex datasets. This role emphasizes data analysis, feature engineering, and model development, with a strong focus on delivering practical, production-ready insights.

The ideal candidate will collaborate closely with engineering and product teams, as well as a senior PhD-level Lead Data Scientist, to design and implement scalable analytical solutions.

Experience in utility or energy data (electric, gas, water, AMI, IoT, or time-series data) is highly desirable. Alternatively, candidates with strong experience in demography are also encouraged to apply.

**Key Responsibilities **

- Analyze large datasets to identify patterns, trends, and anomalies.

- Develop, validate, and optimize statistical and machine learning models.

- Deliver actionable insights to support product, operational, and engineering decisions.

- Collaborate with engineering teams to support deployment and operationalization of models.

- Perform data cleaning, preprocessing, and feature engineering.

- Design and evaluate experiments as needed.

- Translate business and operational challenges into analytical solutions.

- Communicate findings effectively to both technical and non-technical stakeholders.

- Maintain clear documentation and ensure knowledge transfer to internal teams.

- Follow best practices in development, including version control and reproducibility.

**Required Qualifications **

- Proven experience in data science or advanced analytics roles.

- Strong proficiency in Python (e.g., pandas, NumPy, scikit-learn).

- Solid foundation in statistics and machine learning concepts.

- Experience working with SQL and structured datasets.

- Ability to work independently and quickly adapt in a CSW (Contingent Staff Worker) environment.

**Preferred Qualifications **

- Experience with utility, energy, or industrial datasets (electric, gas, water, AMI, IoT).

- Background in demography or population analytics.

- Experience with time-series analysis and anomaly detection.

- Familiarity with big data platforms (e.g., Spark, Databricks, or cloud-based data systems).

- Experience deploying or supporting models in production or near-production environments.

Data Scientist

With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. 

Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico.   

Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Be a part of shaping the future of streaming at weareroku.com.

Industry: Software Development
Company Size: 1,001-5,000 employees

Roku

Teamwork makes the stream work.

**Roku is changing how the world watches TV **Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

**About the team **As a Senior Data Scientist at Roku, you will leverage Big Data to generate insights that fuel Roku’s most significant business decisions. As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from business owners and execute ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development.

**About the role **Roku is looking for a Senior Data scientist to join the Core Analytics team supporting the Roku TV team. As a Senior Data Scientist, you will bring strong technical experience retrieving, manipulating, analyzing, and visualizing data.  Just as importantly, you will bring excellent communication skills, proven collaboration track record, and business acumen.

The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can help drive initiatives with internal stakeholders. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.

This role is hybrid and located in San Jose, CA.  Employees are expected to report to the office Monday - Thursday.

~~For California Only - The estimated annual salary for this position is between $179,900 - $212,300 annually.Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.~~

**What you’ll be doing **

- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for device hardware and software health.

- Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.

- Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau, and other visualization platforms.

- Develop necessary data pipelines to power automation, validation and reporting.

- Use creativity to find proxies where verbatim data or measurement is unavailable.

- Collaborate with stakeholders to align data science initiatives with organizational goals and strategy.

- Design and execute A/B tests to enhance the streaming experience for customers.

- Stay updated with the latest trends and technologies in data science, including the use of artificial intelligence, to drive innovation.

**We’re excited if you have **

- 5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in product analytics is preferred.

- Excellent command of SQL and experience working with Big Data.

- Experience coding in Python or R.

- Hands-on experience with data visualization platform like Tableau, Looker, or similar.

- Statistics knowledge like A/B experimentation and statistical inference.

- Innate drive towards action in resolving issues and operate in a high-energy, fast-paced environment.

- Self-driven, highly motivated, and independent-minded individual who has a natural curiosity for understanding the data and the business.

- Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience.

- Excellent investigative skills with a passion for finding the root cause of an issue.

- The ability to work independently and across multiple time zones.

- Ownership mindset. You own the end-to-end lifecycle of a product, starting from ideation and ending with post-launch performance tracking

- Academic background in mathematics, statistics, physics, data science, computer science, or economics.

**Our Hybrid Work Approach **Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

**Benefits **Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

**Accommodations **Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

**The Roku Culture **Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Senior Data Scientist

Headquartered in Birmingham, Alabama, Command Alkon powers cloud solutions to teams across the globe. 

Looking for a partner? We're ready to work alongside operations of all sizes.

#TechniqueMatters

Industry: Software Development
Company Size: 501-1,000 employees

Command Alkon

**Title: **Senior Data Analyst

** **

**Summary of Role **

The Senior Data Analyst will act as an investigator of real-world plant performance, analyzing data from hundreds of concrete plants running Command Alkon’s Batch AI to uncover inefficiencies, anomalies, and opportunities for improvement. This role goes beyond assigned analysis. Success comes from proactively identifying patterns others miss, asking the right questions, and continuously exploring data to better understand how Batch AI performs in live production environments. Working closely with a senior data scientist, this individual will help translate data findings into insights that influence product improvements and AI model performance.

**Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for employment visa sponsorship. **

**How You’ll Succeed **

-Proactively explore plant performance data to identify anomalies, inconsistencies, and emerging patterns—without waiting for direction.

-Investigate root causes of batching inefficiencies such as material over-tolerance, device behavior, and system variability.

-Develop hypotheses from observed data patterns and validate them through deeper analysis.

-Partner with the senior data scientist to refine findings and connect insights to product and model improvements.

-Analyze batching data and device-level feed cycle logs to evaluate real-world system performance.

-Build and maintain Python-based analysis tools, scripts, and visualizations that help surface meaningful trends.

-Use modern development tools, including AI-assisted coding environments such as Cursor, to accelerate investigation and analysis.

-Continuously ask “why” when reviewing system behavior and challenge assumptions in the data.

-Communicate findings clearly to both technical and non-technical stakeholders.

What Success Looks Like (First 6 Months)

-You consistently identify meaningful patterns or anomalies across plants that were not previously visible.

-Your insights contribute to discussions around Batch AI model behavior and product improvements.

-You develop a strong understanding of batching operations and how they appear in data.

-You become a trusted voice in data reviews by bringing forward thoughtful, self-driven observations—not just answering assigned questions.

**What You Bring **

-5 years of experience in data analysis, engineering, or a related field.

-Bachelor’s degree in Data Science, Engineering, Analytics, or similar (or equivalent hands-on experience).

-Strong Python skills for data analysis, investigation, and automation.

-Experience working with libraries such as pandas, matplotlib, or similar tools for exploring and understanding data.

-Comfort using modern AI-assisted development tools such as Cursor to accelerate analysis, scripting, and problem-solving.

-Experience working with real-world datasets through academic work, projects, internships, or professional roles.

-Familiarity with SQL is helpful, but not required to be highly advanced.

-Strong problem-solving ability with a desire to understand why things happen—not just report what happened.

-Demonstrated ability to independently explore data and uncover non-obvious insights (through projects, coursework, or prior work).

-Clear communication skills with the ability to explain findings simply.

What Sets You Apart

-You naturally dig deeper when something doesn’t look right in the data.

-You enjoy working with messy, real-world datasets and figuring things out.

-You take initiative—you don’t wait to be told exactly what to analyze.

-You have a strong sense of ownership over your work and care about the outcome.

-You are motivated by learning and improving systems, not just completing tasks.

Nice to Have

-Exposure to time-series, operational, or IoT data

-Background in manufacturing, industrial processes, or engineering

-Familiarity with SQL or BI/reporting tools

This Role May Not Be a Fit If You

-Prefer clearly defined tasks and structured problem statements

-Primarily focus on building dashboards or reports from predefined requirements

-Wait for direction rather than proactively exploring data

-Are uncomfortable working with ambiguity or incomplete information** **

** **

**Who You Are **

Manages Complexity: You make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.

Nimble Learning: You actively learn through experimentation when tackling new problems, using both successes and failures as learning fodder.

Tech Savvy: You anticipate and adopt innovations in business-building digital and technology applications.

Decision Quality: You make good and timely decisions that keep the organization moving forward.

Drives Results: You consistently achieve results, even under tough circumstances.

** **

**All Company Core Competencies **

Customer Focus: You build strong customer relationships and deliver customer-centric solutions.

Cultivates Innovation: You create new and better ways for the organization to be successful.

Collaborates: You build partnerships and work collaboratively with others to meet shared objectives.

Instills Trust: You gain the confidence and trust of others through honesty, integrity, and authenticity.

Self-Development: You actively seek new ways to grow and be challenged using both formal and informal development channels.

Senior Data Analyst

Meshy empowers artists, game developers, and creators to bring their visions to life with a toolkit for creating 3D models in seconds.

Industry: Technology, Information and Internet
Company Size: 11-50 employees

MeshyAI

**About Meshy**

Headquartered in **Silicon Valley **, Meshy is the leading 3D generative AI company on a mission to **Unleash 3D Creativity ** by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.

Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across **North America, Asia, and Oceania **, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like **Sequoia and GGV **, and has successfully raised **$52 Million ** in funding.

Meshy is the market leader, recognized as the **No.1 ** in popularity among 3D AI tools (according to 2024 A16Z Games) and **No.1 ** in website traffic (according to SimilarWeb, with **3 Million ** monthly visits). The platform boasts over **5 Million users ** and has generated **40 Million models **.

Founder and CEO **Yuanming (Ethan) Hu ** earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.

**Role Overview**

We are hiring our first Senior Data Scientist in the US. This is a high-impact, foundational role. You will design, build, and deploy advanced analytical and machine learning solutions that directly influence product direction, growth strategy, and monetization.

**You Will Lead Projects Such As**

- Recommendation systems

- User segmentation & behavioral modeling

- Churn analysis (including NLP-based parsing of text feedback)

- LTV forecasting & revenue prediction

- Business and growth forecasting

This role requires strong technical depth, business intuition, and the ability to translate models into actionable decisions.

**Key Responsibilities**

- Design and deploy high-impact ML solutions, including recommendation systems, user segmentation, churn prediction, and LTV/revenue forecasting to drive engagement and monetization.

- Apply NLP techniques to analyze unstructured data (e.g., churn feedback) and uncover actionable product and business insights.

- Leverage both structured (schema-ready) and raw datasets to identify high-value modeling opportunities aligned with company priorities.

- Design and evaluate experiments to measure model performance and quantify business impact.

- Translate complex analytical outputs into clear, decision-ready insights and present findings to senior leadership to influence strategic direction.

- Help define Meshy’s long-term data science roadmap and establish best practices in modeling, experimentation, and measurement.

- Mentor junior team members through technical guidance, code reviews, and modeling leadership, strengthening overall team capability.

**Qualifications Required**

- 5+ years of experience in data science, applied ML, or related roles

- Strong experience building production-level ML models

- Proficiency in Python (Pandas, Scikit-learn, PyTorch or similar)

- Solid understanding of statistical modeling and experimentation

- Experience with recommendation systems, forecasting, or predictive modeling

- Practical experience applying AI tools in data analysis workflows, or a strong demonstrated interest in leveraging AI for analytical problem-solving

- Expert in SQL

- Experience working with both structured and unstructured datasets

- Ability to communicate complex modeling insights to non-technical stakeholders

**Preferred**

- Experience in consumer SaaS, marketplace, or creator economy platforms

- Experience applying NLP to real-world product problems

- Experience with LTV modeling and growth analytics

- Familiarity with causal inference methods

- Experience deploying models into production environments

- Interest in generative AI or 3D/creative technology

- Fluent in both English and Mandarin, with the ability to communicate at a professional level in both written and verbal forms.

**Our Values**

- Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.

- Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.

- Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.

- Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.

**Why Join Meshy?**

- Competitive salary, equity, and benefits package.

- Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.

- Flexible work environment, with options for remote and on-site work.

- Opportunities for fast professional growth and development.

- An inclusive culture that values creativity, innovation, and collaboration.

- Unlimited, flexible time off.

**Benefits**

- Stock options available for core team members.

- 401(k) plan for employees.

- Comprehensive health, dental, and vision insurance.

- The latest and best office equipment.

SoFi is a values-driven company on a mission to help our members get their money right. We create modern financial products and services that help people borrow, save, spend, invest, and protect their money better, so that they can achieve financial independence and realize their ambitions—from owning a home to saving for retirement, paying off their student loans, and more. 

CFL #6054612; NMLS #1121636 (www.nmlsconsumeraccess.org) Advisory services through SoFi LLC, a registered investment advisor. SoFi Checking and Savings is offered through SoFi Bank, N.A. Member FDIC. SoFi Money™ is offered through SoFi Securities LLC, member FINRA/SIPC.

Industry: Financial Services
Company Size: 1,001-5,000 employees

SoFi

**Employee Applicant Privacy Notice**

**Who we are:**

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. **Join us to invest in yourself, your career, and the financial world.**

**The role:**

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our Fraud Model Development Team. This role owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products including Personal Loans, Student Loans, Credit Cards, and Crypto.

The Senior Fraud Model Developer is accountable for measurable fraud loss reduction and false positive improvements within assigned domains. This individual partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ML Platform teams to influence fraud strategy, inform risk tolerance decisions, and ensure models deliver sustained business impact.

This position requires deep expertise in data analytics, statistical modeling, and machine learning, along with the ability to translate complex model performance into clear business outcomes. The ideal candidate brings strong fraud domain knowledge, production ML experience, and a demonstrated ability to manage model risk and complexity at scale

**What you’ll do:**

The Senior Fraud Model Developer will help SoFi build and scale high-performing fraud modeling solutions by:

- Owning end-to-end development of fraud models within assigned product or risk domains, from problem framing through production deployment and ongoing monitoring

- Driving measurable reductions in fraud loss, false positives, and operational expenses

- Translating model outputs into business impact metrics and influencing fraud strategy decisions

- Aggregating and synthesizing datasets from multiple data environments to design scalable and reusable modeling frameworks

- Analyzing complex datasets to identify drivers of fraud loss and member friction across products

- Conducting trade-off analysis between fraud loss mitigation, customer experience, and regulatory guardrails

- Establishing and maintaining model monitoring standards (e.g., performance metrics, drift detection, recalibration cadence) to proactively manage model risk

- Investigating external risk data and emerging fraud patterns to inform roadmap prioritization

- Partnering with ML Platform teams to productionize models in AWS and improve lifecycle governance

- Reducing model development cycle time by simplifying processes, improving documentation rigor, and creating reusable components

- Handling escalations related to model performance, risk exposure, or business impact within assigned scope

- Influencing roadmap sequencing and contributing to prioritization discussions based on ROI, regulatory considerations, and level of effort

**What you’ll need:**

- 7+ years of advanced quantitative modeling experience, or

- Master’s degree and 5+ years of related experience, or

- PhD and 3+ years of related experience, or

- Equivalent practical experience

- Demonstrated ownership of production machine learning models with measurable impact on fraud loss or false positive reduction

- Deep expertise in Python, SQL, and data visualization tools (e.g., Tableau)

- Strong knowledge of statistical methodologies and machine learning techniques (e.g., regression, decision trees, gradient boosting, random forests, neural networks, clustering analysis)

- Experience designing, validating, and monitoring models using metrics such as AUC, KS, precision/recall, and drift detection

- Ability to independently determine modeling approaches, manage trade-offs, and execute solutions with minimal guidance

- Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance stakeholders

- Strong communication skills with the ability to distill complex technical concepts into clear business recommendations

- Demonstrated ability to manage risk exposure within projects and proactively escalate with proposed solutions

**Nice to have:**

- Direct experience in fintech, banking, payments, or digital fraud risk

- Familiarity with graph databases and network-based fraud detection

- Experience developing and deploying models in AWS environments

- Experience influencing fraud policy or risk tolerance decisions

**Compensation And Benefits**

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our **Benefits at SoFi **page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

**Internal Employees**

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Fraud Model Developer

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Industry: Entertainment Providers
Company Size: 10,001+ employees

Netflix

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Member Applied Research Data Science and Engineering team drives foundational research to advance the measurement and understanding of member value. We guide optimal product decision-making while balancing trade-offs, and connect on-the-ground needs from individual teams to holistic priorities and methods shared across the Netflix ecosystem.

We are seeking a Senior Data Scientist with strong experience in observational causal inference, experimentation, and meta-analysis to drive research for Netflix’s core product metrics. In this role, you will push forward foundational research to value member engagement signals, calibrate product tradeoffs, and ensure that our measurement strategies keep up with a quickly expanding content portfolio. You’ll work in a highly collaborative and cross-domain environment with other data scientists, research scientists, and business teams to influence and improve our product decision-making.

**In This Role, You Will**

- Directly lead the research and development of our core member metrics and decision frameworks, particularly as our member base and content offerings expand.

- Establish strong relationships with product, engineering, and data science partners to facilitate decision making under complex tradeoffs.

- Connect and incubate new research advancements, alongside ML and research science partners across domains, to uplevel proxy metric solutions that balance performance with interpretability.

- Advance our meta-analysis capabilities and collaborate on causal inference tooling.

**To Be Successful In This Role, You Have**

- Advanced degree in Statistics, Economics, Computer Science or related quantitative field.

- 5+ years of relevant experience, focused on building and delivering real-world causal and/or machine learning models with demonstrated impact.

- Strong statistical knowledge and intuition across a range of methods, ideally focused on experimentation or other product analytics settings.

- Strong quantitative programming skills (Python preferred), including experience with production systems.

- Exceptional oral and written communication skills, with the ability to move between technical writing and high-level summaries.

- Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.

- Strong product sense to balance between addressing specific stakeholder needs and investing in scalable solutions to serve general use cases.

- Ability to work independently and drive your own projects.

- Embody Netflix values while bringing a new perspective to continue to improve our culture.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Data Scientist 5- Evolving Core Metrics

Precision Technologies Corp. (PTC) is an NJ headquartered boutique professional services firm mapping the right IT talent for our customers. We are Women and Minority owned and operated company.  
Our technological capabilities are in the areas of Agile Transformation, Business Analysis, Cloud Services (AWS/Azure), Data Management, Enterprise Application Development, Devops, RPA Automation, Pega, Salesforce and UI/UX. 
We serve our clients from diverse industries with domain-specific expertise in IT, Health Care, BFSI, Telecom, E-commerce, Retail, Manufacturing, Hi-Tech, Oil & Gas, Utilities & others. Our clients present across the United States.
With rich experience & right talent pool, we are geared up to address the GAP in IT talents' DEMAND-SUPPLY through an Innovative, Best-In-Class recruiting engine, backed by a dedicated Client-Centric service focus.
Precision Technologies delivers the service to support its customer journey towards greater performance by partnering with them for a long haul. 
•         Capability to implement, manage and support the hiring plans of the customers with flexible pricing.
•         Flexible staffing model for rapid ramp up or ramp down.
•         A decentralized delivery model utilizing cost-effective, time-bound and scalable solutions.
•         T&M Resource Engagement for cost-effective delivery.
•         SOW Resource Engagement for risk-free delivery.
•         Best-In-Class Staffing Services for niche roles.
•         Comprehensive Background Checks.

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

Precision Technologies

**Job title: ** Senior Data Scientist

**Location: **Texas (Onsite)

**Employment Type: ** Full-time (W2 only, No C2C)

**Experience: ** 10+ Years

**Job Summary: **We are seeking a highly experienced **Data Scientist with 10+ years of professional experience ** in building advanced **machine learning models, statistical analysis, and data-driven solutions ** for enterprise applications. The ideal candidate will have strong expertise in **data science, predictive modeling, big data analytics, data engineering, and cloud-based AI/ML platforms **. The candidate will work closely with **data engineers, business stakeholders, and product teams ** to deliver scalable and impactful data solutions while following modern **MLOps, Agile, and DevOps practices **.

**Key Responsibilities: **

- Design, develop, and deploy **machine learning and deep learning models ** using **Python, R, Scikit-learn, TensorFlow, PyTorch, and Keras **, enabling predictive analytics and intelligent decision-making.

- Perform **data preprocessing, feature engineering, and exploratory data analysis (EDA) ** using **Pandas, NumPy, and statistical techniques **, ensuring high-quality datasets for modeling.

- Build and optimize **supervised and unsupervised learning models ** such as **regression, classification, clustering, and recommendation systems **, improving model accuracy and performance.

- Develop and implement **natural language processing (NLP) and text analytics solutions ** using **NLTK, spaCy, and transformer-based models **, enabling insights from unstructured data.

- Design and implement **big data analytics solutions ** using **Apache Spark, PySpark, Hadoop, and distributed computing frameworks **, handling large-scale datasets efficiently.

- Deploy and manage **machine learning models in production ** using **MLOps practices, Docker, Kubernetes, and CI/CD pipelines **, ensuring scalability and reliability.

- Integrate machine learning solutions with **cloud platforms such as AWS (SageMaker), Microsoft Azure ML, or Google Cloud AI/ML services **, enabling cloud-native data science workflows.

- Develop and maintain **data pipelines and workflows ** in collaboration with data engineering teams using **ETL/ELT processes and tools **, ensuring seamless data integration.

- Perform **statistical analysis and hypothesis testing ** using techniques such as **A/B testing, regression analysis, and probability modeling **.

- Create **data visualizations and dashboards ** using tools such as **Tableau, Power BI, Matplotlib, Seaborn, or Plotly **, enabling business insights and decision-making.

- Implement **model evaluation, validation, and monitoring techniques ** to ensure model performance, drift detection, and continuous improvement.

- Work with **SQL and NoSQL databases ** such as **MySQL, PostgreSQL, MongoDB, and data warehouses **, ensuring efficient data retrieval and storage.

- Collaborate with **cross-functional Agile teams **, including engineers, analysts, and stakeholders, to define data-driven solutions aligned with business goals.

- Apply **data governance, data privacy, and ethical AI practices **, ensuring compliance with regulations and standards.

- Mentor junior data scientists and contribute to **best practices in machine learning, data science, and model deployment strategies **.

**Technical Skills: **

- **Programming Languages: ** Python, R, SQL

- **Machine Learning Frameworks: ** Scikit-learn, TensorFlow, PyTorch, Keras

- **Data Processing Libraries: ** Pandas, NumPy

- **Big Data Technologies: ** Apache Spark, PySpark, Hadoop

- **NLP Tools: ** NLTK, spaCy, Transformers

- **Data Visualization: ** Tableau, Power BI, Matplotlib, Seaborn, Plotly

- **Cloud Platforms: ** AWS (SageMaker), Microsoft Azure ML, Google Cloud AI/ML

- **MLOps & Deployment: ** Docker, Kubernetes, CI/CD Pipelines

- **Databases: ** MySQL, PostgreSQL, MongoDB, Data Warehouses

- **Statistical Techniques: ** Regression, Classification, Clustering, A/B Testing

- **Version Control: ** Git, GitHub, Bitbucket, GitLab

- **ETL Tools: ** Apache Airflow, Azure Data Factory

- **Operating Systems: ** Linux, Windows

- **Methodologies: ** Agile, Scrum, DevOps, MLOps

We help our customers enable the full value of connectivity by creating game-changing technology and services that are easy to use, adopt and scale. Our comprehensive portfolio ranges across Networks, Digital Services, Managed Services and Emerging Business; powered by 5G and IoT platforms.

Industry: Telekommunikation
Company Size: Fler än 10 001 anställda

Ericsson

**Grow with us**

**About this opportunity:**

**Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1’s working on EAD for this position.**

Innovation & Incubation (AIII) unit in Santa Clara leads the charge in developing intelligent, autonomous network solutions. We are exploring agentic AI – AI agents that can sense, reason, and act independently – as a pathway to fully autonomous networks that self-optimize without human intervention. In this exciting role, you will leverage your expertise in transformer models, large language models (LLMs), and advanced ML to build AI-driven systems that push the boundaries of telecom network automation. If you are passionate about state-of-the-art AI (from open-source LLMs to time-series foundation models) and eager to apply it in a 5G/telecom context, this is the opportunity to drive innovation in a real-world, high-impact domain.

**What you will do:**

- Lead AI Solution Development: Design, develop, and optimize advanced AI models leveraging large language models (LLMs), context engineering, knowledge graphs, advanced RAG techniques, and agentic AI systems to solve real-world telecom network problems. This includes fine-tuning transformer-based LLMs for domain-specific tasks and applying prompt engineering to refine their outputs.

- Autonomous Network Agents: Create and integrate intelligent AI agents capable of tool use and autonomous decision-making for network operations. You will develop multi-agent workflows that enable AI-driven closed-loop automation – allowing the network to monitor itself, evaluate solutions, and act on issues in real time.

- Time-Series Modeling: Apply cutting-edge time-series foundation models to telecom data for forecasting and anomaly detection. You will experiment with state-of-the-art architectures (e.g. Transformer-based models) to model temporal patterns in network KPIs and signals, helping predict issues before they arise.

- Prototype and Deploy Solutions: Work closely with telecom domain experts to define ML project objectives and develop algorithms that meet automation goals. Collaborate with software engineering teams to prototype and deploy your models into Ericsson’s products for telco network operators, ensuring a seamless transition from proof-of-concept to production deployment. You will also enhance the reliability and scalability of these AI models in production environments.

- Innovate and Experiment: Explore new AI technologies and frameworks (e.g. new open-source LLMs, generative AI APIs, agent-based systems) that could improve network automation. You will stay up-to-date with the latest research in AI/ML and proactively bring in innovations – from novel agent evaluation methods to emerging AI tools – to continuously improve our solutions.

- Mentorship and Collaboration: Share your expertise by mentoring junior data scientists and fostering a culture of experimentation and knowledge-sharing. Work in a cross-functional setting, partnering with network engineers, data engineers, and product managers to ensure that AI solutions effectively address business needs and can be integrated smoothly into Ericsson’s network management offerings.

**The Skills You Bring**

- Experience & Education: 5–7 years of hands-on experience as a data scientist or AI/ML engineer, with a proven track record of delivering ML solutions end-to-end (from exploration to production). A Bachelor’s degree in Computer Science, Data Science, Engineering or related field is required (Master’s/Ph.D. preferred).

- ML/AI Expertise: Deep knowledge of machine learning fundamentals and neural network algorithms, including classic models and modern architectures. You should be well-versed in Transformer networks and NLP/LLM technologies, as well as other AI techniques like CNNs, RNNs, reinforcement learning, etc. Experience building and refining transformer-based LLMs (e.g., GPT-4, LLaMA, etc.) and familiarity with their open-source implementations and APIs is expected.

- Generative AI & Agents: Hands-on experience with state-of-the-art generative AI tools, fine tuning approaches such as LoRA/GRPO/SFT/RFT, knowledge of MCP and A2A, and platforms – including working with open-source LLMs and APIs (OpenAI, Anthropic, etc.). Knowledge of advanced RAG techniques, prompt engineering, and context engineering for improving LLM responses is highly valued. You should also understand advanced agentic AI concepts (e.g. the ReAct agent paradigm for decision-making) and have exposure to frameworks for building AI agents or autonomous workflows.

- Programming & Tools: Strong programming skills in Python and proficiency with the modern AI/ML ecosystem. This includes experience with deep learning frameworks (PyTorch, TensorFlow), NLP libraries (HuggingFace Transformers), and AI orchestration frameworks (such as LangGraph or similar) for tool integration. Familiarity with data science notebooks, version control, and MLOps tools for model deployment/monitoring is also important.

- Data Analytics & Foundations: Demonstrated ability to work with large, complex datasets (including time-series data). Experience in data preprocessing, feature engineering, and vector databases for embeddings is a plus. A solid foundation in mathematics, statistics, and probability is required to develop and validate models.

- Evaluation & Optimization: Experience in evaluating AI models and designing custom evaluation benchmarks to measure model/agent performance (e.g. testing for accuracy, bias, “hallucination” in LLM outputs, etc.). You continually iterate on models based on quantitative metrics and error analysis, and you are familiar with AI safety or reliability considerations in model development.

-  Domain Knowledge: Basic understanding of telecommunications networks – including Radio access networks (RAN), Transport, and Core network domains. You have an interest in how AI can be applied to network optimization, operations, and automation; for instance, how AI-powered rApps (Radio apps) or agents can improve network performance and orchestrate resources autonomously. (Telecom/IoT domain knowledge is a strong plus.)

- Collaboration & Communication: Excellent problem-solving skills and ability to communicate complex AI concepts to cross-functional teams. You can effectively partner with business stakeholders and engineers, translating requirements into AI solutions and articulating results/insights clearly. Experience working in an agile, collaborative environment on innovative projects is preferred.

- Bonus Skills: Knowledge of Ericsson’s product portfolio and solutions (for example, our network management tools, OSS/BSS systems, etc.) will greatly set you apart. Familiarity with industry standards (3GPP, O-RAN) and prior experience in network automation or telecom analytics projects is an advantage. Additionally, experience with AI data cloud platforms such as Snowflake and cloud platforms (AWS, Azure, GCP) for scalable ML would be beneficial.

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city: United States (US) || Santa Clara

Job details: Data Scientist (Techn)

**Compensation And Benefits At Ericsson**

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay

The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

The salary range for this position is

Santa Clara

$155,600-233,400

Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.

Your Health

Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents.

Your Financial Security

We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson matches $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson’s full matching contributions. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan.

Your Time

Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

**Additional Benefits**

Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.

Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview.

We're trusted by over 100,000+ UK-based techies, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 

100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Haystack

Senior Data Scientist | Hybrid

We're hiring for a globally recognised professional services firm that tackles complex challenges across public and private sectors. This employer is dedicated to leveraging data science for good, employing innovative machine learning and AI techniques to drive impactful solutions for clients worldwide.

The Role

• Lead the development of algorithms and systems to extract insights from complex data sets.

• Collaborate closely with clients to understand their needs and translate them into data-driven solutions.

• Perform data exploration, aggregation, analysis, and visualization.

• Build robust analytical models, including forecasts, cost models, and trend analyses.

• Apply expertise in natural language processing, text mining, or machine learning techniques.

• Guide and mentor junior team members in data science methodologies.

What You'll Need

• 5+ years of experience in data exploration, aggregation, analysis, and visualization.

• 3+ years of experience with programming languages such as Python, R, or SQL for data analysis.

• 3+ years of experience with BI dashboard tools like Qlik Sense, Tableau, or Power BI.

• Proven experience building analytical models.

• Experience with natural language processing, text mining, or machine learning techniques.

• A Bachelor's degree is required.

• A Secret clearance is required.

What's On Offer

• Opportunity to work on impactful projects solving global challenges.

• A collaborative and supportive team environment.

• Access to professional development and tuition assistance.

• Comprehensive health, financial, and retirement benefits.

Apply via Haystack today!

We are committed to addressing the world’s biggest challenges in the areas of water, energy and communities.

GHD is a global network of multi-disciplinary professionals providing clients with integrated solutions through engineering, environmental, design and construction expertise. Our future-focused, innovative approaches connect and support communities around the world,  resiliency and sustainability for generations to come.

Established in 1928, we remain wholly owned by our people. We are 10,000+ diverse and skilled individuals connected by over 200 offices, across five continents – Asia, Australia, Europe, North and South America, and the Pacific region. 

See our list of office locations and contact numbers in ghd.com/en/about-ghd/office-locations

-

GHD reconnaît et comprend que le monde est en constante évolution. Nous sommes engagés à résoudre les plus grands défis mondiaux dans les secteurs de l’eau, de l’énergie et de l’urbanisation.

Nous sommes une entreprise de services professionnels dotée d’une expertise de pointe en ingénierie, en construction et en architecture. Nos démarches avant-gardistes et innovatrices rapprochent et soutiennent les communautés à l’échelle mondiale. En livrant d’excellents résultats sociaux et économiques, nous visons à bâtir des relations durables avec nos partenaires et nos clients.

Fondée en 1928, GHD appartient entièrement à ses employés Nous sommes plus de 10 000 employés diversifiés et qualifiés dans plus de 200 bureaux et sur cinq continents : Amérique du Nord et Amérique du Sud, Asie, Australie et Europe, ainsi que dans la région du Pacifique.

Apprenez-en davantage sur nous à ghd.com

Industry: Civil Engineering
Company Size: 10,001+ employees

**Job Description**

**EMPLOYER: ** GHD Services, Inc.

**JOB ** **TITLE **: Senior Data Scientist - Environmental Engineering

**LOCATION **: 4068 Mt. Royal Blvd, Gamma Building, Suite 201, Allison Park, PA 15101

**OPENINGS: ** 1

**DUTIES:**

-  Develop, maintain, and optimize data pipelines for large-scale, complex datasets, and design and implement ETL processes to clean, transform, and structure raw environmental data.

-  Design and build scalable and user-friendly applications using Microsoft Power Platform tools (Power BI, Power Apps, Power Automate).

-  Develop custom workflows and integrations to streamline environmental engineering processes and improve operational efficiency.

-  Analyze spatial data using GIS tools such as ArcGIS, QGIS, or Google Earth Engine for environmental and infrastructure projects.

-  Create interactive maps, spatial visualizations, and predictive models for urban planning, resource management, and environmental impact analysis.

-  Integrate geospatial data with machine learning and graph databases for advanced spatial modeling and decision-making.

-  Ensure adherence to environmental compliance standards, including Environmental Protection Agency (EPA) regulations, Environmental, Social, and Governance (ESG) frameworks, and international sustainability guidelines.

-  Conduct risk assessments for regulatory compliance in the oil and gas domain and other high-impact industries.

-  Implement data-driven strategies for monitoring, reporting, and improving environmental metrics, including carbon emissions, water usage, and waste management.

-  Develop tools and analytics to support audits and reporting for ESG initiatives and compliance with industry-specific standards.

-  Design, train, and deploy machine learning models for predictive analytics, anomaly detection, and decision support systems in environmental engineering applications.

-  Employ computer vision (CV) techniques for image analysis, such as remote sensing and urban planning.

-  Utilize natural language processing (NLP) for analyzing textual data such as regulatory documents, reports, and research papers.

-  Design and manage relational and non-relational databases for data storage and retrieval.

-  Implement graph database solutions for spatial data modeling and network analysis in infrastructure planning.

-  Use data-driven insights to support sustainable infrastructure development, environmental impact assessments, and resource optimization, and integrate environmental engineering principles into data science workflows to ensure regulatory compliance and ecological sustainability.

-  Collaborate with cross-functional teams, including civil engineers, environmental scientists, and project managers, to identify opportunities for data-driven solutions.

-  Develop long-term data science strategies aligned with the firm's objectives and client needs.

-  Present technical findings and actionable insights to clients and senior management in a clear and concise manner and translate complex data science concepts into practical solutions for non-technical audiences.

-  Oversee project timelines, budgets, and resources for data science, application development, and geospatial analytics initiatives, and ensure the successful delivery of high-quality analytical solutions and applications on time.

Domestic (U.S.) travel required up to 10%. Telecommuting permitted up to 60%.

REQUIREMENTS:

Position requires a Master's degree in Data Science, Information Systems, Engineering or related field, and four (4) years of post-baccalaureate experience in job offered or in a Senior Data Scientist - Environmental Engineering - related occupation.

Position requires experience in the following:

-  Demonstrable proficiency in tools including Apache Spark and/or Hadoop, and cloud platforms such as AWS, Azure, and/or Google Cloud.

-  Expertise in Microsoft Power Platform, including Power BI, Power Apps, and Power Automate, and ability to create low-code/no-code solutions for workflow automation and application design.

-  Demonstrable proficiency in GIS tools such as ArcGIS, QGIS, or Google Earth Engine, understanding of geospatial data processing, spatial analysis techniques, and map creation, and experience integrating geospatial data with advanced machine learning and database technologies.

-  Demonstrable familiarity with regulatory frameworks including EPA standards, ESG reporting guidelines, and environmental impact assessment methodologies, knowledge of compliance requirements for the oil and gas industry, including risk assessments, emissions tracking, and hazardous material monitoring, and proficiency in sustainability metrics, carbon accounting, and environmental auditing tools.

-  Demonstrable experience in Computer Vision and related libraries such as OpenCV.

-  Demonstrable understanding of supervised and unsupervised learning techniques and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn.

-  Demonstrable expertise in NLP libraries SpaCy, Hugging Face, or NLTK for analyzing regulatory and legal documentation.

-  Demonstrable knowledge of SQL, NoSQL (MongoDB, Cassandra), and graph databases (Neo4j and/or TigerGraph).

-  Solid experience of full-stack web application development with modern frameworks such as React.js, Node.js, Vue, or Next.js.

-  Demonstrable proficiency in Python, R, Java or C++, and experience with data visualization tools Tableau, Power BI, or Matplotlib.

-  Demonstrable analytical and problem-solving skills with a solid understanding of fundamental principles in civil engineering or environmental science.

Domestic (U.S.) travel required up to 10%. Telecommuting permitted up to 60%.

**CONTACT: ** Apply online. EOE.

**About Us**

**Take on some of the world’s toughest challenges - with GHD supporting you every step of the way.**

We'll give you control over your career, empower you to find innovative solutions and help you create a lasting impact.

See where your commitment could take you with GHD.

**Our Pledge to You**

At GHD, we don’t just believe in the power of commitment, we live and breathe it every day.

That’s why we pledge to empower our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today.

See where your commitment could take you.

That’s the**#PowerOfCommitment**

**Who We Are**

GHD is a global professional services company that leads through engineering, architecture, and construction expertise. We are an employee-owned company with over 11,000 diverse and skilled individuals, across more than 200 offices spanning five continents.

The Power of Commitment is our brand promise. It’s what makes us different. We are bound to our stated vision and determination to address humanity’s most urgent needs: to make water, energy and urbanisation sustainable for generations to come.

Senior Data Scientist - Environmental Engineering

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $2 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year.

Industry: Non-profit Organizations
Company Size: 1,001-5,000 employees

CDC Foundation

**Data Scientist **

**Job Description **

**Overview **

The Senior Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements.

Working within Prince George’s County Health Department (PGCHD), the Data and Informatics Specialist will use advanced analytics and statistical techniques to analyze public health data and generate insights that support reporting, program evaluation, and operational decision-making.

This role focuses on working with analytics-ready datasets, contributing to data modeling, and supporting the development and design of analytics solutions using tools such as SQL, Power BI, Excel, and Azure-based analytics platforms (e.g., Azure Synapse Analytics) to identify trends and patterns that inform public health programs, performance monitoring, and strategic priorities.

The Senior Data Scientist will be hired by the CDC Foundation and assigned to the Prince George’s County Health Department (PGCHD). This position is eligible for a fully remote work arrangement for U.S. based candidates.

** **

**Responsibilities **

Advanced Analytics & Data Science

- Develop and deliver advanced analytics solutions using curated Silver and Gold layer datasets within Azure Synapse Analytics.

- Apply statistical analysis, machine learning, and predictive modeling techniques to identify trends, risks, and outcomes in healthcare and public health data.

- Design and validate models for forecasting, classification, clustering, and anomaly detection to support population health, program evaluation, and operational decision-making.

Azure Synapse & Medallion Architecture

- Collaborate with data engineering teams to define analytical requirements for Bronze, Silver, and Gold data layers.

- Utilize Azure Synapse Spark pools and SQL pools to explore, analyze, and prepare data for advanced analytics and modeling.

- Ensure analytical outputs are reproducible, scalable, and aligned with enterprise data standards.

BI, Visualization & Decision Support

- Design and develop Power BI dashboards, reports, and semantic models that communicate insights to technical and non-technical stakeholders.

- Translate complex analytical findings into clear, actionable narratives for public health leaders and program teams.

- Support ad hoc analysis and self-service analytics use cases across the organization.

AI, ML & Cognitive Analytics (Preferred)

- Apply AI and ML techniques using Azure-native or open-source tools (e.g., Azure Machine Learning, Python ML libraries).

- Explore cognitive analytics use cases such as natural language processing, risk stratification, pattern recognition, and decision-support augmentation.

- Collaborate with stakeholders to evaluate feasibility, ethics, and impact of AI-driven solutions in healthcare and public health contexts.

Data Quality, Governance & Ethics

- Partner with data engineering and governance teams to ensure data quality, lineage, and trustworthiness of analytical datasets.

- Follow data privacy, security, and ethical AI principles, particularly for protected health information (PHI).

- Support documentation and transparency of analytical methods, assumptions, and limitations.

Collaboration & Knowledge Sharing

- Work closely with epidemiologists, informaticians, analysts, and IT teams to align analytics initiatives with public health priorities.

- Present findings, recommendations, and model results to diverse stakeholder groups.

- Mentor analysts and junior data scientists on analytical methods, tools, and best practices.

** **

**Qualifications **

- Bachelor's degree in data science, Statistics, Computer Science, Public Health, Informatics, or related field (master's degree preferred).

- Minimum 5 years of experience in data science, advanced analytics, or applied analytics roles.

- Strong proficiency in Python and/or R for statistical analysis and machine learning.

- Experience working with SQL and large analytical datasets in cloud or data warehouse environments.

- Hands-on experience with Power BI, including data modeling, DAX, and dashboard design.

- Solid understanding of statistical methods, predictive modeling, and data validation techniques.

- Ability to communicate complex analytical concepts clearly to non-technical stakeholders.

- Strong analytical thinking, problem-solving, and data storytelling skills.

- Up to 10% domestic travel may be required.

**Preferred Qualifications **

- Hands-on experience with Azure Synapse Analytics, Spark pools, and ADLS Gen2.

- Familiarity with Medallion Architecture or Lakehouse-based analytics platforms.

- Experience with Azure Machine Learning, cognitive services, or AI-driven analytics solutions.

- Background in healthcare, public health, or life sciences analytics.

- Knowledge of HIPAA, healthcare data standards, and public-sector data governance requirements.

- Experience deploying or operationalizing ML models in production or semi-production environments.

- Familiarity with other analytics and visualization tools (e.g., Tableau, SAS, R Shiny).

**Job Highlights **

- Location: Remote, must be based in the United States, Up to 10% domestic travel may be required

- Salary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.

- Position Type: Grant funded, limited-term opportunity

- Position End Date: June 30,2027

Nuuly is a curated destination for anyone who loves fashion and is exploring how to wear, buy and sell it in ways that are gentler on the planet—and their wallets. Get creative with what you wear every day with Nuuly Rent, our clothing rental subscription or buy + sell secondhand with Nuuly Thrift, our community resale platform. Or both!

Industry: Retail
Company Size: 51-200 employees

Nuuly

Nuuly is seeking a Senior Data Scientist to join the analytics team and help bring data-driven insights and decision making to functions including buying/planning, logistics, finance, customer service, marketing, and user experience. The analytics team works to solve problems and answer questions that ~~cannot ~~be answered by a dashboard; these often require testing, simulations, model building, causal analysis, and a strong emphasis on data storytelling. Nuuly’s unique business model presents questions that have often not yet been solved for the industry, presenting an opportunity to use data to pave the way forward.

This is a senior individual contributor role with high visibility, expected to set technical direction and mentor others. You are a strategic problem solver and are able to take ambiguous questions and independently turn them into actionable insights. You are curious and love to immerse yourself in data to drive business value. You are organized and attentive to detail, and value precisely and clearly documenting analyses. You are an organization-wide thought leader, always on the forefront of new technologies and data science & machine learning approaches. You enjoy acting as a technical mentor to analysts, providing guidance on code quality, analytical approaches, and strategic thinking. You enjoy being a liaison among the URBN data community, leveraging the shared expertise of a highly technical team of data scientists with the business-facing analytics team.

Responsibilities:

- Lead analytics initiatives that shape business strategy, especially in high-priority domains like inventory optimization and planning. Over time, flex across domains (e.g., marketing, logistics, finance), becoming a trusted strategic partner across the org.

- Bring data science capabilities, such as ML modeling and advanced statistical concepts, to the Nuuly analytics team.

- Design and run experiments (e.g., A/B tests, causal inference studies) to measure the impact of strategic initiatives and inform decision-making at scale.

- Conduct complex analyses independently in Google BigQuery (SQL) and Python. Run simulations and conduct statistical analyses on test results.

- Serve as a liaison between technical and non-technical stakeholders, translating data into insights.

- Work with stakeholders to understand the meaning & intent behind their questions, not just perform question-and-answer services. Partner with stakeholders to inform strategy, suggesting new approaches, introducing new metrics to better understand the business, etc.

Qualifications

- 4+ years in a data science or applied ML role, preferably with consumer-facing or e-commerce applications

- Advanced proficiency in Python and SQL

- Strong statistical and analytical skills (e.g., hypothesis testing, distributional analysis, uncertainty estimation)

- Experience with a wide range of ML techniques (e.g., tree-based models, clustering, neural networks, time series forecasting) and model evaluation (troubleshooting, metrics, benchmarking)

- Strong familiarity with ML tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch, Jupyter Notebooks)

- Ability to translate business problems into technical solutions and communicate findings clearly to technical and non-technical stakeholders

Additional

- Strong interest in learning the Nuuly business

- Positive attitude and excellent interpersonal and communication skills

- Self-motivated and able to deliver on tasks

- Ability to think critically and develop creative solutions to complex problems

-

Preferred Skills

- Master’s or PhD in Computer Science, Statistics, Data Science, or a related quantitative field

- Experience working with Google Cloud Platform or other cloud infrastructure (e.g., GCS, BigQuery, Compute Engine)

- Familiarity with orchestration and ML workflow tools (e.g., MLflow, Airflow, Kubernetes)

- Experience in retail, fashion, logistics, or subscription services

**AI/LLM Proficiency: **

- Practical experience using Large Language Models (ChatGPT, Claude, etc.) for work tasks

- Understanding of prompt engineering and how to provide effective context to AI tools

- Familiarity with structured AI guidance methods (system prompts, rules files, agent configurations)

- Knowledge of AI tool integration concepts (MCP, connectors, agentic workflows)

- Ability to identify opportunities where AI can drive efficiency improvements

The Perks

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits

Nuuly Senior Data Scientist

**Employee Applicant Privacy Notice**

**Who we are:**

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. **Join us to invest in yourself, your career, and the financial world.**

The role:

The Compliance Senior Data Scientist will be responsible for assisting the Anti-Money

Laundering Compliance program with model development, model optimization, model

validation, management information reporting, AML system integration, AML data

infrastructure and AML data architecture to effectively fight financial crime. Additionally,

this role will also support AML governance initiatives including risk assessments and

internal/external inquiries.

What you’ll do:

-  Facilitate AML model development, implementation, optimization, assessment

and validation of risk-based customer screening, transaction screening,

transaction monitoring and AML customer risk rating covering multiple product

lines, including banking, brokerage and lending to ensure sound risk coverage

across the enterprise.

-  Maintain, test and configure AML vendor solutions to ensure conceptually sound

design, proper implementation, and acceptable model performance.

-  Research, compile and evaluate large sets of data to assess quality, integrity and

completeness to determine suitability for AML model development.

-  Architect and lead the design of advanced AML models utilizing machine learning

and statistical modeling methods for supervised and unsupervised learning.

-  Exercise flexibility in selecting model architectures, algorithms, third-party

libraries, and development workflows, provided they align with project objectives

and organizational requirements.

-  Ensure AML compliance and regulatory requirements are embedded in the

model design.

-  Document modeling methodology, data sources, assumptions, and validation

results.

-  Lead governance and quality control across the full AML model lifecycle including

code reviews, validation of methodology, input data integrity, and performance

metrics.

-  Ensure adherence to the organization’s established ML framework, coding

conventions, documentation standards, and model risk management policies,

embedding AML compliance and regulatory requirements into design and

deployment.

-  Oversee documentation and review processes for internal model validation,

external regulatory examinations, and cross-functional approvals, while

supporting resolution of development blockers and coordinating with key

stakeholders.

-  Develop governance documentation related to tuning efforts, parameter changes

and data validation for AML transaction monitoring to ensure a comprehensive

audit trail is maintained.

-  Track and report results of tuning and optimization activities and model

performance to senior management.

-  Develop robust management information dashboards displaying real-time or near

real-time AML metrics.

-  Partner with and advise the AML Governance Unit by providing necessary data

for AML Risk Assessments, internal/external audit examinations and other

regulatory requirements.

What you’ll need:

-  Bachelor’s Degree or Master’s Degree in Statistics, Computer Science,

Mathematics, Finance, Computer Science, Engineering or other relevant areas.

-  3+ years of experience in the finance industry focusing on BSA/AML, OFAC, or

fraud modeling/analytics.

-  Statistical/data analytical skills, including data quality validation, and predictive

modeling experience in SQL and Python.

-  Knowledge of and ability to leverage traditional databases, cloud-based

computing, and distributed computing.

-  Track record of leading AML governance-related initiatives, such as risk

**Assessments, Internal/external Audits And Other Regulatory Requirements.**

-  Demonstrated ability to communicate effectively with all levels of the organization

and across different business lines.

Nice to Have:

-  Knowledge of AML regulations and the USA PATRIOT Act.

-  Familiarity with regulatory guidance on Model Risk Management (Federal

Reserve SR Letter 11-7, OCC Bulletin 2011-12, FDIC FIL 22-2017, DFS504)

-  Experience with data visualization (e.g., Tableau)

-  Experience with data monitoring systems (e.g., DataDog, Monte Carlo)

-  Experience with cloud data infrastructure (e.g., Snowflake)

-  Experience with automated transaction monitoring (e.g., Verafin)

-  Experience with customer/transaction screening (e.g., LexisNexis)

-  Experience with infrastructure automation software (e.g., Terraform)

-  Familiarity with virtualization and containerization (e.g., Docker)

-  Familiarity with container orchestration (e.g., Kubernetes)

-  CAMS certification preferred

**Compensation And Benefits**

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our **Benefits at SoFi **page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

**Internal Employees**

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

We’re evolving health care so everyone can have the opportunity to live their healthiest life. It’s why we put your unique needs at the heart of everything we do, making it easy and affordable to manage health and well-being. We are delivering the right care how and when it’s needed; providing support to make smarter and healthier choices; and making prescription services easier, while helping you save money along the way. It’s everything health care should be. Together, for better health.

Optum is part of UnitedHealth Group (NYSE: UNH).

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

Optum

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and optimization of large‑scale data platforms and analytical solutions. The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python, Airflow, and overall data management best practices, with a strong ability to lead teams, define architecture, and drive data strategy across the organization.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

**Primary Responsibilities**

- Technical Leadership

- Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows

- Lead end‑to‑end data engineering efforts, ensuring reliability, performance, and cost‑efficient data systems

- Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration

- Collaborate with cross‑functional teams (analytics, product, engineering, business) to align data solutions with business goals

- Data Engineering & Pipeline Development

- Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow

- Manage large-scale data ingestion, transformation, and orchestration frameworks

- Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems

- Cloud & Infrastructure

- Develop and manage cloud‑native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)

- Ensure high availability, disaster recovery, and monitoring of critical data workflows

- Implement CI/CD, infrastructure‑as‑code, and DevOps practices for data engineering workloads

- Data Warehousing & Modeling

- Design and enhance enterprise data warehouses and data marts following industry best practices

- Drive dimensional modeling, data partitioning, performance tuning, and metadata management

- Ensure consistency and quality across analytical datasets and data sources

- Data Governance & Quality

- Establish data quality frameworks, lineage tracking, validation checks, and documentation

- Implement governance standards including security, compliance, and access control

- Partner with business stakeholders to define and enforce master data and reference data strategies

- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

**Required Qualifications**

- Bachelor's degree in CS or IT related field

- 10+ years of experience in Data Engineering, with at least 3+ years in a senior/principal‑level role

- 7+ years of experience in MSSQL-query optimization, indexing, stored procedures, performance tuning

- 7+ years of experience in Data Warehousing, ETL/ELT, and big‑data processing

- 5+ years of hands‑on experience with AWS Cloud for data architecture and pipeline development

- 5+ years of extensive experience with Airflow for workflow orchestration

- 3+ years of experience in Python for data engineering (Pandas, PySpark, etc.)

- 2+ years of experience in data management principles: governance, quality, lineage, and security

**Preferred Qualifications**

- Excellent leadership, communication, and cross‑team collaboration skills.

- Ability to translate business needs into scalable technical designs.

- All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

~~**Application Deadline: **This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.~~

~~At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.~~

~~UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.~~

~~UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.~~

#RPO #GREEN

TRM Labs is a blockchain intelligence company that helps financial institutions, crypto businesses, and government agencies detect and investigate crypto-related financial crime and fraud. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people. 

Attention Job Applicants: Recently, it has come to our attention that certain individuals are masquerading as members of TRM's recruitment and human resources team online. We will never request your personal information outside of the standard recruitment process. Every job offer at TRM is extended only after a formal interview process and we will not require candidates to fulfill any financial obligations as part of the hiring process. If you believe you have been targeted with a fraudulent job offer or encountered any suspicious activity, please send us an email with “Recruitment Fraud” in the subject line to recruiting-fraud@trmlabs.com.

Industry: Information Services
Company Size: 201-500 employees

TRM Labs

Build a Safer World.

TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.

We’re hiring a **Senior Data Scientist, Product Analytics ** to support our Product Analytics function at TRM. You’ll play a foundational role in shaping how we use data to drive product decisions. TRM’s product surface and customer base have scaled significantly in recent quarters — and with that growth comes complexity. We need sharper insight loops to confidently answer: ~~Did this feature work? Should we double down or pivot? Where are we leaving value on the table?~~

This role exists to close that gap. You'll be the bridge between what we build and why it works — combining causal inference, business context, and data storytelling to uncover what drives impact. Your work will shape the product roadmap, define how success is measured, and help ensure we’re building the right things for the right users.

**The Impact You Will Have**

- Experimentation & Causal Analysis — Design, launch, and analyze controlled experiments (feature flags, quasi‑experiments) to validate product bets; deliver statistically robust recommendations that directly influence ship/iterate/kill decisions.

- Insight Generation & Roadmap Influence — Translate complex product & customer data into crisp narratives that reshape priorities and unlock ARR or risk‑reduction upside.

- KPI Framework & Dashboard Ownership — Define north‑star and supporting metrics, build data models & dashboards, and ensure leadership consumes a single source of truth for product health.

- Data Quality & Instrumentation Governance — Partner with R&D to spec, QA, and monitor event tracking; author tests and anomaly alerts so teams trust the numbers.

**What We’re Looking For**

- Ownership Mindset — Proactively improves instrumentation, ensures reliable data pipelines, and closes the loop between product changes and insights.

- Experiment Design & Statistical Methods — Skilled in designing robust experiments and deriving meaningful causal inferences that influence product direction.

- Advanced SQL Modeling — Writes modular, tested SQL models that power dashboards and experimentation frameworks; contributes to codebase via GitHub.

- Data Storytelling & Stakeholder Influence — Builds compelling narratives that connect user behavior to business outcomes; adjusts depth and format for execs vs. ICs.

**About The Team**

We are a small but foundational function — currently a team of 2 — with direct access to senior decision-makers. This role is ideal for someone who thrives in high-autonomy environments and wants to shape how analytics is done at a fast-scaling company. The team operates with high trust, close cross-functional collaboration, and a deep investment in product thinking.

We default to async communication but prioritize fast iteration and clarity. Weekly standups with Product and R&D ensure close alignment with product launches and prioritization.

**Operating Rhythm**

- This is a US-based role.

- Expect ~4 hours of overlap with PST working hours.

**Learn About TRM Speed In This Position**

- Able to extract insights for every product release within 72 hours of launch.

- Influences quarterly roadmap priorities through data-backed insights.

- Drives velocity of experiment volume — aims for experiments on all net-new product functionality.

**Life at TRM**

We are building a safer world. That promise shows up in how we work every day.

TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.

Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.

**At TRM, You Should Expect**

- Priorities and targets to change quickly as we experiment and iterate

- Work that often requires operating with a high degree of ambiguity

- A high level of personal ownership and accountability

- Close collaboration across teams and functions

- Frequent, high-touch communication

- Creative problem solving and out-of-the-box thinking

- A pace that rewards urgency, adaptability, and outcomes

This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.

We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.

At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like

**AI Fluency at TRM**

AI fluency is a baseline expectation at TRM.

We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.

At TRM, AI Fluency Means You Are Among The Top 10 Percent Of Operators In Your Function In How You Apply AI To

- Accelerate repeatable workflows

- Structure and solve problems

- Improve output quality

- Increase speed and leverage

You will be evaluated on applied AI fluency during the interview process.

**Leadership Principles**

We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.

- Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.

- Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.

- Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.

**Join our Mission**

At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.

TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.

**Privacy Policy And Additional Information**

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy.

Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law.

To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.

**Recruitment agencies**

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

**Learn More **: Company Values | Interviewing | FAQs

Senior Data Scientist, Product Analytics

DeepIntent is the healthcare advertising platform marketers trust to drive effective campaigns. Purpose-built for healthcare and privacy-safe, the DeepIntent platform unites media, identity, and clinical data to produce industry-defining health intelligence. Consistently proven to deliver real-world results based on real-time optimization, the DeepIntent platform powers more than 600 pharmaceutical brands and all the leading healthcare agencies to innovate, differentiate, and reach their audiences across all channels and devices.

Industry: Advertising Services
Company Size: 201-500 employees

DeepIntent

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

**What You’ll Do**

DeepIntent is seeking an experienced Senior Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising technology. In this role, you will lead a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively.

The Senior Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial leaders to deliver scalable, data-driven solutions.

**Strategic & Organizational Leadership**

- Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions.

- Help execute the global data science roadmap supporting DeepIntent’s mission to transform healthcare marketing through data and technology.

- Lead and mentor a distributed team of data scientists across the U.S., Europe, and India.

- Foster a culture of innovation, experimentation, and collaboration across teams.

- Contribute to strategic planning and help identify new opportunities where advanced analytics and AI can drive business impact.

**Healthcare-Focused Data Science & AI**

- Develop and optimize predictive and causal models for patient and provider targeting, audience segmentation, and campaign performance measurement.

- Oversee the development and deployment of machine learning models supporting real-time bidding, healthcare audience modeling, and privacy-first identity resolution.

- Integrate real-world data (RWD), claims data, and digital engagement signals into scalable machine learning pipelines.

- Ensure models and data science practices align with healthcare privacy standards including HIPAA and other global regulatory frameworks.

**Data Infrastructure & Governance**

- Collaborate with engineering, product, and data partnerships teams to strengthen our data infrastructure supporting large-scale, multi-market model deployment.

- Implement best practices in feature engineering, reproducible research, and ML Ops to improve experimentation speed and reliability.

- Partner with legal and compliance teams to ensure responsible AI development and ethical use of healthcare data.

**Cross-Functional Collaboration**

- Work closely with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that improve targeting precision, optimize media performance, and enhance client outcomes.

- Translate complex modeling outputs into actionable insights for internal stakeholders and clients.

**Who You Are**

- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field

- Master’s or Ph.D. in Computer Science, Statistics, Mathematics a plus

- 8+ years of experience in data science, machine learning, or advanced analytics roles.

- 5+ years of people management experience managing data science or analytics teams.

- Experience working with healthcare data, adtech platforms, or marketing analytics environments.

- Strong understanding of programmatic advertising, identity resolution, and healthcare data ecosystems (claims, RWD, HCP and patient data).

- Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost).

- Strong foundation in statistics, causal inference, and measurement methodologies for media effectiveness and attribution.

- Excellent communicator capable of translating complex technical concepts to business stakeholders and clients.

- Experience working with healthcare compliance frameworks (HIPAA, GDPR, CCPA) and privacy-aware data science practices.

- Comfort working in global, cross-functional environments across multiple time zones.

- Passion for applying data science and AI to improve healthcare marketing outcomes.

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $185,000 - $220,000. The base salary range takes into consideration each candidate's skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here's what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Sr Director, Data Science

Cristcot is a strategic pharmaceutical company focused in the space of gastroenterology to address large gaps in disease management that are overlooked by others and marked by a low competitive landscape. The first product is designed to halt acute flares in ulcerative colitis and has successfully completed Phase 3 clinical trials.

Industry: Pharmaceutical Manufacturing
Company Size: 11-50 employees

Cristcot

**Job Summary **

We are seeking a strategic and hands-on data science and analytics leader to build and lead the data and analytics function for a growing biotech organization preparing to launch a hydrocortisone acetate therapy for ulcerative colitis.

**Primary Relationships **

- Within Cristcot, the Director, Data Science & Commercial Analytics will collaborate closely with Sales, Commercial Operations, Marketing, Market Access, Medical Affairs, and the Executive Team.

- Outside Cristcot, the Director, Data Science & Commercial Analytics will engage with external vendors.

**Primary Job Responsibilities **

The Director, Data Science & Commercial Analytics will be responsible for standing up the end-to-end data and technology environment, enabling commercial insights, and driving data-informed decision-making across the organization.

**The activities of the Director, Data Science & Commercial Analytics **will include, but are not limited to:

**Build the Data & Technology Ecosystem **

- Design, develop and implement the company’s data architecture from the ground up (data ingestion, storage, transformation, and access layers)

- Evaluate and select appropriate tools and platforms (e.g., data warehouses, ETL pipelines, BI tools, CRM integrations)

- Establish scalable, compliant, and secure data infrastructure aligned with biotech/pharma regulations (HIPAA, GDPR where applicable)

- Define data governance frameworks, including data quality, stewardship, and access controls

**Commercial Data Strategy & Enablement **

- Identify, acquire, and integrate critical data sources to support commercial operations, including:

- Patient claims (medical & pharmacy)

- Prescription (Rx) data

- Electronic health records (EHR)

- Provider-level data

- Specialty pharmacy and hub services data

- Payer and formulary data

- Translate commercial strategy into data requirements and analytics solutions

- Build datasets and data models tailored to key business questions (e.g., patient journey, targeting, segmentation)

**Analytics & Insights Generation **

- Develop and lead analytics to support:

- Launch planning and performance tracking

- Sales force effectiveness and targeting

- Patient identification and adherence patterns

- Market access and payer strategy

- Create dashboards, KPIs, and reporting frameworks for executive and commercial stakeholders

- Apply advanced analytics (predictive modeling, segmentation, forecasting) to inform decision-making

**Cross-Functional Partnership **

- Act as a strategic partner to Commercial leadership to align analytics with brand objectives

- Collaborate with IT, Medical Affairs, Market Access, and Finance to ensure integrated data use

- Translate complex data insights into actionable business recommendations

**Leadership & Execution **

- Manage external vendors (data providers, analytics partners, consultants)

- Operate both as a strategic leader and a hands-on contributor in a fast-paced environment

**Skills and Qualifications: **

** **

- Advanced degree preferred (Master’s or Ph.D.), but no less than Bachelor’s degree in data science, business, psychology, statistics, economics, mathematics, life sciences, computer science, or a related field that requires data analytics skill

- 8–12+ years of experience in data science, analytics, or commercial data roles within biotech/pharma

- Proven experience building data infrastructure and analytics capabilities from scratch

- Deep understanding of healthcare data ecosystems (claims, Rx, EHR, specialty pharmacy, etc.)

- Experience supporting commercial launches, preferably in specialty or GI therapeutics

- Strong proficiency in SQL, Python/R, and BI tools (e.g., Tableau, Power BI)

- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)

- Experience in ulcerative colitis, gastroenterology, or specialty therapeutics preferred

- Knowledge of patient journey analytics and rare/specialty disease commercialization preferred

- Experience working in pre-commercial or early-launch biotech environments preferred

- Strategic thinking with strong execution capabilities

- Ability to translate business needs into data solutions

- Strong communication skills with both technical and non-technical stakeholders

- Entrepreneurial mindset; comfortable with ambiguity and building from zero

- High level of ownership and accountability

- Priority consideration will be given to applicants who reside within the Central and Eastern time zones

- Ability to travel up to 10%

Director, Data Science & Commercial Analytics

Dart makes everyday products that give people the freedom to enjoy the food and drinks they love, wherever they are. From to-go containers and dinnerware to tamper-evident food packaging and even the red Solo cup, our products have been keeping people on the go and having fun for more than 50 years.

Our customers around the world count on us for thoughtful design that truly meets the needs of their customers. We make products with dependable quality and deliver them with exceptional service. 

Our commitment to environmental stewardship is best summarized by our Eco-Forward® Design Approach to sustainable food packaging. This approach guides how we source, design, manufacture, and transport products—as well as how we educate customers and consumers on proper disposal.

To learn more about our sustainability commitments, visit https://www.dartcontainer.com/sustainability/.

Social Media Guidelines: https://www.dartcontainer.com/social-media-community-guidelines/

Industry: Packaging and Containers Manufacturing
Company Size: 10,001+ employees

Dart Container

The Data Scientist (ability to hire at multiple levels based on experience) will collaborate with members of Analytics and business users to build predictive models using third party and enterprise data. This position will work cross-functionally spanning departments such as Business Units, Sales, Finance, Supply Chain, and IT.

**This role is open only to candidates authorized to work in the U.S. without sponsorship now or in the future.**

**What You'll Do - Results**

-  Collaborate with Analytics leadership to develop an understanding of the business’ data analytics needs

-  Break down problems into pieces that can be solved with data, analysis, assumptions, and judgment

-  Cleanse, integrate and evaluate large datasets

-  Research and apply innovative statistical and machine learning models for data analysis

-  Identify patterns and insights from the data

-  Communicate findings through reports, dashboard, etc. to stakeholders, including non-technical business users to leadership

-  Write structured and understandable code to enable smooth collaboration across the team and successful model deployment

-  Facilitate projects from concept through deployment

-  Collaborate with Data Engineering to deploy models into production

**What You'll Bring - Competencies, Experience & Skills**

-  Bachelor’s degree with an emphasis in mathematics, business, economics, statistics, computer science, data science, or related field of study

-  Experience in a relevant field dealing with large data sets, conducting complex business analyses and presenting findings/conclusions in a compelling manner

-  Technical skills including the suite of Microsoft Office products, cloud-based computing, and coding skills (such as SQL and Python)

-  Understanding of machine learning methods, applied statistical analysis (regression, time-series, inferential statistics), exploratory data analysis including clustering

-  Able to adapt to the use of different tools as appropriate

-  Strong collaboration and facilitation skills

-  Strong communication skills both written and verbal

-  Ability to work effectively in a cross functional environment

-  Results oriented individual with a bias for action

**Preferred Skills And Qualifications**

-  Experience with Power BI, SAP, Salesforce CRM, and/or pricing software such as PriceFX

-  Demonstrated business acumen and experience in manufacturing and/or food and beverage packaging industries

-  Experience with operational excellence, lean processes, continuous improvement

**Overview: ** Dart makes everyday products that give people the freedom to enjoy the food & drinks they love, wherever they are. From to-go containers and dinnerware to tamper-evident food packaging and even the red SOLO cup, Dart products have been keeping people on the go and having fun for 65 years. We’re a family-owned, family-focused company of 12,000 employees united by a shared set of values and dedicated to providing exceptional customer service. Headquartered in Mason, MI, with 30 locations in three countries, we’re proud of our ability to innovate, manufacture and lead the way with each new generation of quality products.

**Benefits: ** Dart Container full-time employees enjoy great benefits, including medical, dental, vision, life insurance, 401(k) with company matching contributions, paid vacation, paid holidays, short-term disability, tuition assistance, product discounts and more.

Dart Container is a drug-free workplace. Candidates are subject to a drug test (excluding THC*/marijuana/cannabis) and background check at the time of offer.

- THC testing ONLY when such testing is required by law.

Dart Container is an equal opportunity employer and will consider all candidates for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

https://www.dartcontainer.com/eeoaa/

If you have a disability and need an accommodation to access this website or for the application process, you should call Dart at (800) 545-3278 Ext 3370 or email us at ADArequests@dart.biz. Relay calls can be made by dialing 711 or the relay number for your state.

If you experience difficulty applying online, you may call (800) 545-3278 Ext 3390 or email us at applicationassistance@dart.biz for assistance.

Data Scientist - Supply Chain Analytics

LeMans Corporation is the world’s largest distributor of aftermarket products and accessories in the powersports industry. With its companies Parts Unlimited, Parts Canada, Parts Europe and Drag Specialties it sells to over 20,000 dealerships worldwide and continues to bring great products and services to motorcyclists and other powersports enthusiast across the globe.

Industry: Wholesale
Company Size: 1,001-5,000 employees

LeMans Corporation

We are seeking a **Senior Supply Chain Data & BI Analyst ** to serve as the primary analytics and performance visibility partner for our Supply Chain organization. This highly impactful role supports Procurement, Logistics, Trade Compliance, and Product Portfolio teams by transforming complex data into clear, actionable insights that enable smarter operational and executive decision‑making.

As a trusted analytics leader, you will design and maintain Power BI dashboards, own standardized KPI frameworks, and champion data accuracy, automation, and AI‑assisted analytics tools. This role is ideal for a data professional who thrives at the intersection of business operations, analytics, and continuous improvement.

**What you’ll do: **

- Build and maintain **Power BI dashboards ** and automated reports

- Own Supply Chain and Supplier Scorecards with standardized KPIs

- Analyze ERP and supply chain data to identify trends and improvement opportunities

- Partner with IT on data pipelines, system configuration, and reporting improvements

- Enforce data standards and lead validation and audit efforts

- Implement automation and AI‑assisted analytics to improve efficiency

**What you bring: **

- **4–6 years **of supply chain analytics experience preferred

- Deep understanding of supply chain processes and KPIs

- Advanced **Power BI ** skills (data modeling, DAX, visualization best practices)

- Advanced **Microsoft Excel **(Power Query, complex formulas, automation)

- ERP experience (**Microsoft D365 preferred **)

- Excellent analytical, communication, and organizational skills with a strong business‑first mindset

- Excellent verbal and written communication skills; ability to tailor insights to executive and operational audiences

- Exceptional attention to detail and data accuracy

- Strong organizational skills with the ability to manage multiple priorities

**Disclaimers **

Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

LeMans Corporation is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. LeMans will only employ those who are legally authorized to work in the United States for this opening. There are not any current or future visa sponsorships for this opening.

This company participates in E-Verify.

**Notice to California Employees and Prospective Employees **

https://downloads.lemansnet.com/docs/LeMans_CA_employee_privacy_policy.pdf

Senior Supply Chain Data & BI Analyst

We go beyond the traditional job board model by offering dedicated, hands-on Staffing and Placement Services. We understand that for our clients, hiring is a high-stakes investment. Our team acts as an extension of your HR department, providing tailored recruitment strategies to solve your most pressing talent gaps. Whether you are looking for executive leadership, specialised technical experts, or a full-scale team expansion, Jobs Ai provides the vetting, sourcing, and strategic advisory needed to ensure a perfect fit. We don't just fill seats; we build the foundations of your future growth.

Industry: Staffing and Recruiting
Company Size: 11-50 employees

Jobs Ai

- **Role:Director, ISC Analytics **

- **Location: ** Phoenix, Arizona, United States

- **Employment Type: ** Full-Time

**Role Overview **

We are seeking a highly strategic **Director, ISC Analytics ** to lead advanced analytics initiatives across the Integrated Supply Chain (ISC) function for one of our clients in the aerospace sector. In this role, you will drive operational efficiency, improve decision-making, and deliver business-transforming insights by guiding a team of analytics professionals.

You will oversee the development and implementation of analytics models, digital tools, and AI-driven solutions that enhance performance across Operations, Quality, Procurement, Planning, and other ISC functions. This role requires deep expertise in data strategy, analytics leadership, visualization, and stakeholder alignment.

**Key Responsibilities **

- Develop and implement a comprehensive data and analytics strategy for the Integrated Supply Chain.

- Lead data collection, governance, and quality frameworks to ensure accurate and reliable insights.

- Apply statistical and data analysis techniques to extract insights from supply chain datasets.

- Drive analytics solutions supporting Operations, Quality, Procurement, and Planning.

- Design and develop impactful analytics dashboards and visualizations using tools like Power BI or Tableau.

- Utilize advanced technologies, including artificial intelligence and machine learning, to enhance decision-making.

- Partner with cross-functional teams including Logistics, Production, Finance, and Procurement.

- Translate complex datasets into actionable recommendations for senior leadership.

- Coach and lead a high-performing analytics team.

**Required Qualifications & Experience **

- Minimum **8 years ** in progressive data analytics roles.

- Minimum **2 years ** working with analytics tools and programming languages (Python, R, SQL, etc.).

- Minimum **2 years ** experience using data visualization tools (Tableau, Power BI, etc.).

- Experience with data governance, data quality, and supply chain analytics.

- Strong leadership experience managing and developing high-performing teams.

**Preferred (We Value) **

- Bachelor’s degree in Data Science, Analytics, Engineering, or related field.

- Strong analytical, problem-solving, and storytelling abilities.

- Proven success in driving data-driven decisions and measurable business outcomes.

- Experience in aerospace or industrial supply chain analytics.

- Knowledge of advanced analytics (ML, predictive modeling, optimization).

**Compensation & Benefits **

- Competitive salary package aligned with experience.

- Comprehensive medical, dental, and vision coverage.

- Life insurance, disability benefits, FSA/HSA options.

- 401(k) or retirement plan with employer contributions.

- Paid time off, parental leave, and flexible working arrangements.

- Professional development and educational assistance.

- Access to wellness and employee assistance programs.

**Inclusion & Diversity **

We foster an inclusive environment where all qualified applicants are considered without regard to race, gender, orientation, age, disability, or background. We believe diversity enriches innovation and strengthens our workforce.

**Apply Now! **

Director Integrated Supply Chain Analytics

Theranica is a neuromodulation therapeutics company dedicated to creating effective, safe, affordable, and low-side-effect therapies for idiopathic pain conditions. Our initial focus is on migraine, one of the most common neurologic disorders affecting over 1 billion people, with a high prevalence and morbidity, especially among adolescents and females. 
 
The company’s award-winning flagship Nerivio® REN wearable is changing the game for migraine sufferers, especially the 100 million adolescents facing this complex and non-curable disease. Nerivio is the first and only REN wearable that harnesses the natural power of the brain to shut off migraine symptoms without the use of drugs. With early intervention being key, Nerivio offers a safe and side-effect-free alternative, empowering adolescents to take control of their health and providing a foundation for complete migraine care as they transition into adulthood.
 
Theranica is a neuromodulation therapeutics company dedicated to creating effective, safe, affordable, low-side-effect therapies for idiopathic pain conditions. The Nerivio REN wearable is FDA-cleared and CE-marked for the acute and/or preventive treatment of migraine with or without aura in people 12 years of age or older. It has been used in more than 650,000 migraine treatments in the US, including by adolescents and veterans living with migraine. Learn more by visiting our websites, theranica.com, and nerivio.com.

Industry: Medical Equipment Manufacturing
Company Size: 11-50 employees

Theranica

**Title: Commercial Analytics Manager **

**Department: ** Marketing

**Reports To: ** VP, Marketing

**Location: ** Remote, based in EST or CST

**Travel: ** Up to 10–20%, as needed

**Position Overview **

The Commercial Analytics Manager plays a critical role in scaling a fast-growing medical device organization by transforming data into actionable insights that inform commercial strategy and execution. This role partners closely with Sales, Marketing, Finance, and Market Access to drive revenue growth, improve sales effectiveness, and support data-driven decision-making across the commercial organization.

Operating in a dynamic, high-growth environment, this position requires a hands-on analytics leader who thrives in ambiguity, moves with urgency, and takes ownership of building scalable analytics capabilities. This is not a passive reporting role - it is a builder and problem-solver role for someone eager to shape how analytics supports the company’s next phase of US commercial growth.

**Key Responsibilities: **

**Commercial Strategy & Growth Analytics **

- Deliver analytics and insights that support revenue growth, market expansion, and evolving go-to-market strategies.

- Identify performance gaps and growth opportunities across territories, segments, products, and channels.

- Lead forecasting, scenario modeling, incentive compensation planning, and business case development in a fluid, matrixed environment.

**Sales & Marketing Enablement **

- Partner closely with Sales and Marketing leadership to improve sales productivity, targeting, pipeline health, and launch execution.

- Design, analyze, and refine incentive plans, quota methodologies, and KPIs that scale with a growing commercial organization.

- Measure and optimize ROI for campaigns, promotions, and product launches, translating insights into timely action.

- Lead qualitative and quantitative market research efforts, using primary and secondary sources.

**Data, Tools & Scalable Infrastructure **

- Build and evolve dashboards, scorecards, and self-service reporting tools to enable faster, more informed decision-making

- Integrate and analyze data from Salesforce CRM, ERP, IQVIA, Google Cloud (Looker) dashboards, third-party market data, and internal sources, often working with imperfect datasets

- Balance speed with rigor - delivering timely insights while continuously improving data quality, consistency, and governance.

**Cross-Functional Partnership & Leadership **

- Serve as a strategic thought partner to Sales, Marketing, Finance, Market Access, and senior leadership.

- Communicate insights clearly and confidently through executive-ready storytelling and recommendations.

- Support leadership meetings and executive readouts with concise, decision-oriented analytics.

**Continuous Improvement & Advanced Analytics **

- Manage sales attainment reports and reconcile end of quarter data

- Proactively identify opportunities to automate, simplify, and scale analytics processes.

- Apply advanced analytics techniques (e.g., predictive modeling, trend analysis, scenario planning) where they deliver clear business value.

- Help define and evolve “best-in-class” commercial analytics capabilities as the organization grows.

**Required Qualifications: **

- Bachelor’s degree in Business, Analytics, Economics, Statistics, Finance, or a related field.

- 5+ years of experience in commercial analytics, sales operations, or business intelligence, incentive compensation planning, preferably within medical devices and/or pharmaceuticals.

- Strong proficiency in analytics and visualization tools such as Power BI, Tableau, SQL, FlexView 2020, Excel.

- Strong PowerPoint skills.

- Experience working with CRM systems (Salesforce preferred).

- Demonstrated ability to deliver actionable insights in fast-paced, evolving environments.

**Qualifications: **

- MBA or Master’s degree in Analytics/related discipline or relevant industry experience.

- Experience supporting high-growth or scaling commercial organizations

- Exposure to pricing, contracting, market access, payer analytics.

- Familiarity with healthcare data sources (e.g., claims data, procedure volumes, third-party market data).

- Experience supporting product launches or new market entry initiatives.

Commercial Analytics Manager

FICO (NYSE: FICO) powers decisions that help people and businesses around the world prosper. Founded in 1956, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, insurance, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in more than 100 countries do everything from protecting 4 billion payment cards from fraud, to improving financial inclusion, to increasing supply chain resiliency. The FICO® Score, used by 90% of top US lenders, is the standard measure of consumer credit risk in the US and has been made available in over 40 other countries, improving risk management, credit access and transparency. Learn more at www.fico.com.

Industry: Software Development
Company Size: 1,001-5,000 employees

FICO

**FICO (NYSE: FICO) ** is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

“~~At FICO, we're looking for a strategic procurement leader who wants more than a seat at the table — they want to shape what happens there.~~

~~Reporting to the Director of HSI Category Management, you'll partner with key business units to drive smarter sourcing strategies, ensure supply continuity, and deliver real savings that fuel FICO's mission — all in a high-visibility role where your work directly influences the technology backbone of a global analytics leader ~~,” Chief Procurement Officer

**What You’ll Contribute**

- Leads global procurement strategies for hardware, software and infrastructure across Engineering, Product and other technology teams.

- Negotiates hardware, software, and infrastructure deals through knowledge of relevant suppliers and deal structures for Engineering, Product and other technology teams.

- Responsible for supply continuity and quality, lead time improvements and savings/ROI targets.

- Actively identifies gaps, proposes and implements changes needed to meet strategic objectives.

- Drives and delivers savings/ROI opportunities aligned with organization commitments.

- Develops vendor management strategies to consolidate global vendors and achieve strategic objectives.

- Develops, communicates and executes global procurement strategies aligned with best practices and strategic objectives.

- Partners with business leaders to execute CapEx and OpEx purchases that meet cost savings and other strategic objectives.

- Brainstorms and provides feedback on category planning and best practices in supply and procurement organizations.

- Supports key initiatives, such as Source to Pay rollout, Business Intelligence tool optimizations, process efficiencies and spend controls to ensure adherence to best practices and procurement governance.

- Ability to inspire and motivate others; engenders support and trust from all levels of the organization.

- Demonstrates adaptability for working in diverse, fast-paced environments with significant grey areas and multiple, sometimes competing priorities and objectives.

- Makes decisions that support strategic objectives; takes personal accountability for decisions made and gains the support of others.

- Collaborates with key cross-functional stakeholders to ensure engagement, buy-in and ownership of sourcing strategies.

**What We’re Seeking**

- Bachelor's degree in Supply Chain, Business, Finance, or related field, or relevant experience; advanced degree a plus.

- Demonstrable experience in strategic sourcing, procurement, or category management across hardware, software and technology infrastructure.

- Proven ability to negotiate and structure complex vendor agreements with reputable suppliers.

- Experience developing vendor consolidation strategies that reduce risk, improve operations and deliver measurable cost savings.

- Strong financial acumen, including business case development, TCO analysis, and capital and operating expenditure planning.

- Familiarity with Source-to-Pay systems, Business Intelligence tools, and procurement process improvement.

- Confident and poised; excellent verbal and written communication skills, with demonstrated ability to influence and present to stakeholders up to C-Suite.

- Ability to build cross-functional relationships across Engineering, Product and other technology teams, as well as Finance, Legal, Operations and Security teams.

- Self-starter with can-do attitude, sense of humor, strong organizational skills, sound judgment, and ability to manage competing priorities.

- Willingness to travel occasionally; comfortable working in dynamic, globally diverse environments.

**Our Offer to You**

- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.

- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.

- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

- The targeted base pay range for this role is: $94,500 to $148,500 with this range reflecting differences in candidate knowledge, skills and experience.

**Why Make a Move to FICO?**

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

-  Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

-  Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

-  Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

Senior Strategic Sourcing Manager-Global Procurement (Hardware, Software, Infrastructure)

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
 
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.

Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms

© 2024 JPMorgan Chase & Co. All rights reserved. JPMorganChase is an Equal Opportunity Employer, including Disability/Veterans.

Industry: Financial Services
Company Size: 10,001+ employees

JPMorganChase

**Job Description**

Join the Firmwide Technology Financial Planning & Analysis (FP&A) organization to lead analytics which shape a $20B technology investment portfolio.

As a Global Tech Analytics Lead within the Technology FP&A team, you will architect data‑driven insights, elevate continuous planning, and deliver CFO/CIO‑ready narratives that influence high‑profile funding and prioritization decisions across the Firm. You will build repeatable intelligence, modernize our financial framework, and serve as a consultative partner to senior leaders on core and topical challenges.

**Job Responsibilities**

- Connect spend patterns to product health and unit economics (cost‑to‑serve, contribution margin) to inform portfolio trade‑offs and decommission/scale decisions. Build price/volume/mix and run‑change walks to explain variance drivers and elevate decision velocity for senior stakeholders.

- Analyze product expense trends and link them to adoption, reliability, and customer outcomes; curate portfolio characteristics and heatmaps that prioritize strategic bets while safeguarding critical run services.

- Play a key role in developing, analyzing and enhancing continuous planning methodologies and assumptions with a goal of reducing forecast error and compressing re‑forecast cycle times.

- Apply corporate finance rigor (WACC, NPV/IRR, payback) to investment evaluations and re‑sequencing; design base/downside/strategic scenarios to optimize capital allocation across the tech portfolio.

- Drive cloud cost optimization and embed FinOps insights into product P&Ls and planning baselines.

- Industrialize repeatable processes using Python/SQL/Alteryx and other tools for intelligence generation, driving efficiency, reducing errors, and maximizing speed to actionable insights. Build executive dashboards (e.g., Tableau) with scenario toggles and drill‑downs to speed insights from data to decision.

- Deliver concise, well‑structured readouts for CFO/CIO forums and capital committees, synthesizing analytics into clear calls to action. Operate as an internal consultant—align diverse stakeholders, manage dependencies, and drive outcomes in a fast‑paced environment.

**Required Qualifications, Capabilities, And Skills**

- 8+ years in data analytics within financial services, investment banking, consulting or strategy, with demonstrated impact on technology finance decisions

- Strong written and verbal communication, including debate of complex topics with senior stakeholders and creation of high‑impact presentations.

- Relevant depth in at least two key content areas: product economics and unit cost models, cost of capital and scenario modeling for tech investments, cloud FinOps and Technology Business Management (TBM) -aligned cost transparency, driver‑based and continuous planning, corporate finance for technology portfolios or CFO/CIO‑ready storytelling and executive readouts

- Quantitatively focused undergraduate and/or graduate degree or other demonstrated quantitative and analytical ability

- Demonstrated ability to quickly internalize complex concepts, connect data to business context, and solve problems in cross‑functional teams

- You will be self-motivated, thrive in a fast-paced environment, and have passion and intellectual curiosity to find and capture business value

- Experience with analytics and data-wrangling tools such a Python, SAS, SQL, and Alteryx

**Preferred Qualifications, Capabilities, And Skills**

- Highly self‑motivated; thrives amid shifting priorities and ambiguous problem spaces.

- Intermediate Excel with structured, traceable analysis and prototyping.

- Familiarity with Hyperion Essbase, Dodeca, Anaplan, PitchPro, Tableau, and relational data structures.

- Measurably improves forecast accuracy and reduces cycle times through driver‑based, continuous planning.

- Elevates capital allocation quality via scenario‑based corporate finance analysis (e.g., NPV/IRR, WACC).

- Reduces cloud run‑rate and unallocated spend through FinOps and TBM transparency.

- Produces executive‑ready materials that accelerate decision making in capital committees and leadership forums.

**Additional Information**

- To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

- This role requires the ability to physically work in our offices 5 days a week

- Final Job Grade level and corporate title will be determined at time of offer and may differ from this posting

- This role does not provide relocation assistance so all candidates must be local to the work locations listed in the job posting or willing to relocate on their own immediately upon hiring

**ABOUT US**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

**About The Team**

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

Global Tech Finance Planning & Analysis Lead - Vice President

Find Data Science Manager jobs with Savvy's AI Recruiter. Browse thousands of opportunities from top companies including remote positions. Our AI-powered system matches you with roles that fit your skills and experience.