TikTok is a discovery tool made just for you.

TikTok is a global platform for discovery, joy and endless possibilities — connecting and entertaining more than a billion people across more than 150 countries. 

TikTok's headquarters are in Los Angeles and Singapore, with additional offices in Austin, Dublin, Paris, Berlin, Dubai, Jakarta, Johannesburg, London, New York, Mexico City, Sao Paolo, San Jose, Seoul, Seattle, and Tokyo.

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

TikTok

Savvy Admin PROD

**Responsibilities**

TikTok Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.

The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different regions.

About Team

Our social team's mission is to help people discover, build, and sustain meaningful connections. We design features that spark interactions, measure the health of relationships on our platform, and use experimentation and causal inference to ensure we’re improving outcomes that matter—quality conversations, trusted interactions, and highly retained relationships. You'll collaborate closely with Product, Engineering, and Trust & Safety to turn insights into experiences that make connecting easier and better.

What You’ll Do

- Participate in data science and data analysis work related to TikTok's UGC creation, social interaction, community interaction, photo-text business, deeply understand business logic and user needs, solve challenging problems in product and strategy optimization, and optimize user experience

- Design a reasonable metric system to measure the growth of the business, identify anomalies through monitoring, decomposition, and prediction of core metrics, and attribute them

- Measure the impact of strategies through quantitative analysis, statistical modeling, experimental design, causal analysis, etc., identify opportunities for business growth, and provide actionable iterative suggestions

- Work closely with product, algorithm, operations, research and development teams to advance projects together

**Qualifications**

Minimum Qualifications

- Master's degree or above, major in statistics, mathematics, economics, computer science, or related fields, with 2+ years of data analysis experience

- Proficient in quantitative analysis, solid foundation in statistics, familiar with A/B testing, causal inference, machine learning models, etc.

- Proficient in SQL, familiar with one or more tools in Python/R

Preferred Qualifications

- Strong logical thinking ability, self-driven, and strong cross-team communication and collaboration skills

- Experience in the internet industry preferred

- Understanding of recommendation systems, experience in analysis related to social platforms, photo&text communities, etc.

**About TikTok**

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

**Why Join Us**

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

**TikTok Accommodation**

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request​

**Job Information**

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $136800 - $292600 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​

3. Exercising sound judgment.​

Data Scientist - TikTok Social and Creation (San Jose)

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.

Are you passionate about leading the charge in emerging technologies? Do you want to join an award-winning team offering diverse opportunities, from account executives and data scientists to AI strategists, machine learning experts, and data engineers? If so, the AI Engineering Manager at SFL Scientific might be the perfect fit. SFL Scientific, a Deloitte Business, is part of our broader Strategy Offering within the Strategy & Transactions practice. Our specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Join us to expand your technical career through leadership, consulting, and becoming an industry leader in the AI engineering community.

Recruiting for this role ends on 8/31/2026.

**Work You'll Do**

As an AI Engineering Manager you will support the design, development, and deployment of novel AI applications across healthcare, life sciences, manufacturing, consumer, energy, and other sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions.

In our consultative approach, we are platform agnostic and committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities include but are not limited to:

-  Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications

-  Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies

-  Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases

-  Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives

-  Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem

-  Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns

-  Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions

-  Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization

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

A successful candidate would possess these skills:

-  Ability to work independently and collaborate as part of a team

-  Effective written and verbal communication skills

-  Meticulous attention to detail and quality of work product

-  Ability to build and sustain professional relationships

-  Ability to lead projects or workstreams

-  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

-  Strong interpersonal skills and professional demeanor

-  Ability to meet deadlines

-  Ability to mentor and provide clear guidance to others

**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**

**Required:**

-  Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.)

-  6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment

-  6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)

-  6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.

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

-  4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.

-  4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)

-  3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.

-  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:**

-  Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field

-  AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)

-  2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack

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 $155,600 to $306,800.

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.

AI Engineering Manager - SFL Scientific

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.

Industry: Software Development
Company Size: 5,001-10,000 employees

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

**PLEASE NOTE: ** The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.

**AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:**

- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.

- Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.

- Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.

- Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.

- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.

- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.

- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.

- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

**OUR IDEAL CANDIDATE WILL HAVE:**

- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).

- 8+ years of relevant data science or related experience.

- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.

- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).

- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.

- Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.

- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

~~Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.~~

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

-  The estimated base salary range for this role is $168,000 - $220,500.

- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Senior Data Scientist - Product

Gridware is a technology company focused on protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced active grid response platform uses high-precision mechanical sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is headquartered in San Francisco, California, and is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Industry: Software Development
Company Size: 51-200 employees

Gridware

**About Gridware **

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

**Role Description **

As a Senior Data Scientist, you will be embedded within Gridware’s Fleet team, driving fleet performance optimization across our network of IoT devices.

You will work across hardware, firmware, connectivity, and backend systems to understand real-world system behavior and optimize performance end-to-end. A core focus of this role is balancing competing system constraints&mdash;such as **power consumption, data fidelity, connectivity reliability, and anomaly detection latency **&mdash;to ensure optimal fleet performance.

This role combines modeling, experimentation, and hands-on investigation to ensure reliable, scalable system performance in dynamic, real-world environments.

**Responsibilities **

- Develop models and analyses to optimize **system performance across competing constraints ** (e.g., power usage vs data quality vs responsiveness)

- Define and implement **end-to-end observability **, establishing metrics across system components and dependencies

- Design and run experiments (e.g., pre/post, control vs test) to evaluate changes and detect regressions at both component and system levels

- Build and refine **anomaly detection and failure analysis ** methods across complex, real-world data

- Lead **ad hoc investigations ** into system issues, identifying root causes and driving resolution with cross-functional teams

- Translate insights into actionable recommendations across **Firmware, Hardware, Software, and Operations **, driving measurable improvements in system behavior

- Develop predictive systems for **early issue detection and performance forecasting **, including in environments with limited historical data

- Continuously evolve analyses into **scalable intelligence systems ** that support monitoring, decision-making, and automation

**Required Skills **

- 5+ years of experience in data science working on **production systems or real-world applications **

- Proven experience **building, deploying, and maintaining models in production environments **

- Strong proficiency in **Python and SQL **

- Experience working with **complex, real-world datasets ** (e.g., time-series, event-based, or system-generated data)

- Strong foundation in **statistical analysis, experimentation, and/or anomaly detection **

- Proven ability to **bring structure to ambiguous, open-ended problems **, iterating quickly to drive toward practical, high-impact solutions (80/20 mindset)

- Experience working cross-functionally with engineering and operational teams

**Bonus Skills **

- Experience working on **distributed hardware/software systems ** such as robotics, autonomous vehicles, IoT fleets, charging infrastructure, or energy/grid systems

- Prior ownership of **end-to-end performance, reliability, or optimization ** for large-scale, real-world systems operating in dynamic environments

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

**Benefits **

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)

Paid parental leave

Alternating day off (every other Monday)

“Off the Grid”, a two week per year paid break for all employees.

Commuter allowance

Company-paid training

Senior Data Scientist, Fleet Performance Optimization

Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 

We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.

This is that place where your passions meet purpose. Join our family and build a career you’re proud of.

Industry: Retail
Company Size: 10,001+ employees

Walmart

Position Summary...

What you'll do...

As part of the Emerging Tech team, this role is centered on deep technical execution and advanced modeling. As a Senior Data Scientist, you’ll focus on developing and experimenting with deep learning and multimodal generative models, working closely with engineers to bring research-grade ideas into real production systems.

- Immigration Sponsorship is not available in this role

About Emerging Tech:

Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop.

As a Senior Data Scientist you will:

- Contribute as a hands-on builder focused on model development and rapid experimentation.

- Execute complex deep learning and multimodal modeling work with a production mindset.

- Partner closely with engineering to deploy, monitor, and iterate on models in production.

- Influence adjacent teams through strong technical judgment and collaboration.

- Thrive in fastmoving, ambiguous spaces where learning fast and shipping value matters.

Experience we are looking for:

- 3–6+ years in data science, deep learning, or applied ML.

- Proven, hands-on expertise with modern deep learning frameworks.

- Experience training, finetuning, and evaluating large models.

- Ability to work with large datasets and curate domain specific training data.

- Track record of close collaboration with engineering partners.

- Strong analytical skills and clear, concise communication.

- Research mindset with real world impact; publications are a plus, not a requirement.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

~~The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.~~

Your Career Journey at Walmart

At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:

We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position.

If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

**For Information About Benefits And Eligibility, See One.Walmart.**

Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00

Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

-  Stock

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**Minimum Qualifications...**

~~Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.~~

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

**Preferred Qualifications...**

~~Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.~~

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Senior Data Scientists, Conversational AI

Founded in 2015, Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests - from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.

And we're hiring! If this strikes a chord with you, come build belonging with us: https://discordapp.com/jobs for openings.

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

Discord

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform:**play video games. ** Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Senior Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams. If you’re passionate about data, impact, and working on an amazing team, read on!

**What You'll Be Doing**

- Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing

- Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information

- Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes

- Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve

- Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly

- Collaborate with data and engineering teams to design scalable and future-proof instrumentation

**What You Should Have**

- 4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics

- 4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations

- 4+ years experience writing excellent SQL

- Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways

- 4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment

- A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

- Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

**Bonus Points**

- Passion for Discord or online communities

- Experience with technical leadership, being the point person for one or more stakeholder groups

- Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc.

- Experience in the user engagement and growth problems

- Experience writing performant code in BigQuery SQL

- Experience with writing production ETL

~~Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.~~

~~The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.~~

**Why Discord?**

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. **Join us in our mission! Your future is just a click away!**

**Discord is committed to inclusion and providing reasonable accommodations during the interview process. **We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

~~**Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE. ** ~~

Senior Data Scientist, Analytics

Scopely is a leading global interactive entertainment and video game company, home to many top-grossing, award-winning franchises, including the most successful mobile game ever launched "MONOPOLY GO!," along with "Stumble Guys," "Star Trek™ Fleet Command," "MARVEL Strike Force," "WWE Champions" and "Yahtzee® With Buddies," among many others.

Scopely creates, publishes, and live-operates immersive games across mobile, web, PC and console that empower a directed-by-consumer™ experience.

Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami™ that supports one of the most diversified portfolios in the games industry.

Recognized multiple times as one of Fast Company’s “World’s Most Innovative Companies” and as a TIME100 “Most Influential Company In the World,” Scopely has surpassed $10 billion in lifetime revenue due to its ability to create long-lasting game experiences that players enjoy for years.

Scopely has global operations across North America, Central America, EMEA and Asia, with additional game studio partners across four continents. 

Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.

For more information on Scopely, visit: scopely.com.

Industry: Entertainment Providers
Company Size: 1,001-5,000 employees

Scopely

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely)’s mission is to inspire people to explore the world, together. We build products that inspire exercise, exploration, and social in-person interaction.

We are seeking a quantitatively strong and business-oriented **Data Scientist, Marketing ** to support our global Marketing organization. In this role, you will help develop measurement frameworks, analytical models, and scalable reporting solutions that inform user acquisition, brand investment, direct marketing (CRM), and long-term player growth.

This role is ideal for someone who combines strong technical skills with intellectual curiosity and a desire to understand how marketing investments translate into long-term player value. Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing is mandatory.

**Responsibilities**

**User Acquisition (UA)**

- Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems.

- Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals.

- Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc.

- Contribute to marketing mix modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited.

- Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments.

- Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods.

**Direct Marketing**

- Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources.

- Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns.

- Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy.

**Analytics Infrastructure & Workflow Efficiency**

- Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics.

- Ensure data quality, documentation, and consistency across marketing data pipelines.

- Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation.

- Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders.

- Contribute to responsible and thoughtful adoption of AI-powered analytics tools.

**Qualifications**

- 1–5 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred).

- Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM).

- Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV.

- Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments.

- Proficiency in SQL and experience using Python (or similar) for analysis.

- Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker).

- Strong analytical, communication, and stakeholder management skills in a cross-functional environment.

**Plus If…**

- Experience supporting brand or upper-funnel marketing measurement.

- Exposure to marketing mix modeling or other aggregate-level measurement frameworks.

- Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling.

- Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools.

- Experience working with global marketing teams across multiple regions.

For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.

CA, CO, NJ, NY, and WA Annual Salary Range

$141,800 - $202,500 USD

**About Scopely**

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Data Scientist, Marketing

On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo app and ride today.

Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com/careers to check out our official job listings.

Industry: Technology, Information and Internet
Company Size: 1,001-5,000 employees

Waymo

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology—resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

**You Will**

- Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.

- Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.

- Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.

- Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.

- Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.

**You Have**

- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)

- 3+ years of industry experience solving data science problems or a PhD in a quantitative field

- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models

- Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

**We Prefer**

- PhD in a quantitative field

- Experience solving problems related to Autonomous Driving or Ride Hailing

- Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$216,000 USD

Data Scientist

Using whole genome sequencing and state-of-the-art bioinformatics, MyOme analyzes a single patient sample to produce comprehensive and clinically actionable reports that allow patients and their providers to make personalized lifestyle, prevention, and treatment choices.

Industry: Biotechnology Research
Company Size: 11-50 employees

MyOme

MyOme’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

**Position Overview:**

MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist.

**What You'll Do:**

- Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data

- Identify and develop tools for NGS data analysis

- Develop and test algorithms for incorporation into a production pipeline

- Design and implement quality control processes

- Help design and conduct clinical validation study plans and reports

- Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards

**What You'll Ne ****ed:**

- Master’s degree (PhD preferred) in computational biology, computer science or a related field

- 3+ years experience in industry analyzing NGS data

- Coding fluency such as Python or R

- Experience with bioinformatics tools including bcftools, samtools, bedtools, etc.

- Ability to implement new tools and evaluate open source tools quickly

- Familiarity with genomic databases such as UCSC, NCBI (dbSNP, Clinvar), Ensembl

- Familiarity with public datasets such as 1000 Genomes, UKB, All of Us

- Experience with detecting and interpreting different types of genetic variants

- Experience in statistical analysis of genetic data

- Experience managing computational tasks in a cloud environment (AWS or GCP).

- Solid understanding of the Linux environment and shell scripting

- Experience working with next-generation sequencing data (exome, genome, RNASeq) and/or long-read technology (Nanopore, PacBio)

- Experience with Nextflow is a plus

- Excellent communication and presentation skills

- Experience working within a hybrid and/or remote team

**Location, Compensation, and Benefits:**

- **Location: **Hybrid role, 2 days onsite at our Menlo Park, CA campus.

- **Compensation: ** Annual salary range is $120,000 - $150,000, based on experience

San Francisco Bay Area pay range: $120,000 USD - $150,000 USD

**Benefits:**

- Comprehensive healthcare coverage (Health, Dental, and Vision)

- 401K

- Unlimited PTO

- Professional development opportunities

- Company-sponsored off-sites and team meals during in-person meetings

- Direct access to company leadership and the opportunity for career growth

**Diversity, Inclusion, and Equal Opportunity:**

MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

**Why Work at MyOme?**

**Join us if you:**

- Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level

- Enjoy rolling up your sleeves, taking initiative, and being empowered to lead

- Value humility, transparency, and collaborative problem-solving

- Thrive in fast-moving, dynamic environments with smart, driven teammates

- Appreciate competitive compensation, meaningful equity, and excellent benefits

Learn More: myome.com

Bioinformatics Scientist

Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.

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

Adobe

**The Opportunity**

We are seeking a Software Engineer to join the AEP Lakehouse team. In this position, you will contribute to constructing scalable, high-performance data systems that enable real-time customer intelligence. You will be involved in impactful projects, cooperate with experienced engineers, and get familiar with the latest data technologies in an encouraging setting. Perfect for those starting their careers wanting to advance in data and cloud expertise.

**What You’ll Do**

- Write clean, efficient, and well-tested code in Java, Scala, or Python.

- Contribute to the development of data pipelines and backend services for real-time and batch workloads.

- Work closely with senior engineers and data scientists to assist with analytics and use cases involving artificial intelligence.

- Participate in code reviews, testing, and release cycles to ensure high-quality software.

- Learn and apply cloud development practices (AWS or Azure).

- Solve issues and help improve system reliability and scalability.

**What You Bring**

- Bachelor’s degree or equivalent experience in Computer Science (or related field) with 1–3 years of software engineering experience (including internships and academic projects).

- Strong programming skills in at least one language such as Java, Python, or Scala.

- Interest in distributed systems, cloud infrastructure, or large-scale data processing.

- Problem-solving attitude, curiosity, and a collaborative approach to building solutions.

**Nice to Have (Optional)**

- Exposure to data frameworks such as Spark, Kafka, Flink, Apache Iceberg, or Delta Lake.

- Familiarity with containerized or cloud-native development (Kubernetes, Docker).

- Knowledge of databases, query engines, or analytics platforms.

**About Adobe**

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

**Let’s Adobe together**

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

**AI Use Guidelines for Interviews:**

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

**Expected Pay Range:**

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $93,200 -- $179,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $123,700 - $179,200

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

**State-Specific Notices:**

**California:**

**Fair Chance Ordinances**

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

**Colorado:**

**Application Window Notice**

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

**Massachusetts:**

**Massachusetts Legal Notice**

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.

Software Development Engineer

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Industry: Research Services
Company Size: 201-500 employees

OpenAI

**About The Role**

As a People Data Scientist, you will bring deep expertise in research science, measurement, and experimentation to OpenAI’s most important People programs. You will design studies, evaluate people processes, build research frameworks, and help leaders understand how we can better empower employees, strengthen organizational systems, and deliver exceptional employee experiences.

We’re looking for an experienced data scientist who can translate ambiguous People questions into rigorous research designs, validated insights, and actionable recommendations.

This role will be based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

**In This Role You Will**

- Design rigorous research and evaluation strategies for organizational health, manager effectiveness, employee experience, and talent outcomes.

- Conduct fairness, adverse impact, validity, reliability, calibration, and measurement-invariance analyses for high-stakes People processes and AI-assisted workflows.

- Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact.

- Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving.

- Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets and analytical pipelines.

- Develop research playbooks that establish rigorous standards for study design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization.

- Communicate findings through concise, executive-ready narratives.

**You Might Thrive In This Role If You**

- Deep curiosity, strong attention to detail, and passion for solving ambiguous and complex problems with creativity.

- Exceptional strength in research design, experimentation, measurement, causal inference, and statistical modeling, including hands-on experience with psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, and machine learning evaluation.

- High proficiency in R or Python and SQL, with experience working across complex, messy datasets.

- Experience building measurement systems, research programs, data products, reusable analytics frameworks, self-service tools, and governed analytical workflows.

- Ability to communicate complex methods and tradeoffs clearly to senior leaders, technical partners, and non-technical audiences.

**Preferred Qualifications**

- Experience evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes in operational contexts, including familiarity with model evaluation methods.

- Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Quantitative Psychology, Behavioral Economics, Statistics, Economics, Data Science, or a related field; PhD preferred.

**About OpenAI**

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI 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.

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

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $198K - $220K

People Data Scientist

𝗧𝗵𝗲 𝗢𝗮𝗸𝘄𝗲𝗹𝗹 𝗛𝗮𝗺𝗽𝘁𝗼𝗻 𝗚𝗿𝗼𝘂𝗽 consists of four award-winning tech recruitment brands: 
👉🏻 𝗢𝗛 𝗨𝗞 | 𝗢𝗛 𝗡𝗲𝗱𝗲𝗿𝗹𝗮𝗻𝗱 | 𝗢𝗛 𝗗𝗲𝘂𝘁𝘀𝗰𝗵𝗹𝗮𝗻𝗱 | 𝗢𝗛 𝗨𝗦𝗔 👈🏻

With extensive expertise in the UK, European, and American recruitment markets, we specialise in providing Retained, Exclusive, Contingent, and Freelance Recruitment Solutions across the IT and Digital sectors.

What Sets Oakwell Hampton Apart?

𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘇𝗲𝗱 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲: 𝗪𝗲 𝗮𝗿𝗲 𝗽𝗿𝗼𝘂𝗱 𝘁𝗼 𝗵𝗮𝘃𝗲 𝘀𝗲𝗰𝘂𝗿𝗲𝗱 𝗮 𝗽𝗹𝗮𝗰𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗽𝗿𝗲𝘀𝘁𝗶𝗴𝗶𝗼𝘂𝘀 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿 𝗧𝗼𝗽 𝟭𝟬𝟬.

Community Leadership: As a headline sponsor of the Manchester Tech Festival, we actively support the tech community.

Commitment to Diversity: We recently launched Inclusive Code, our DE&I-focused podcast.

World-Class Engagement: Our most recent Employee Engagement Score reached an outstanding 80.4, recognized as a world-class achievement.

Core Values: Our company values—#Trust, #Best, and #Togetherness—guide every decision we make.

Mission-Driven: We empower exceptional individuals to make life-changing career decisions every day.

𝗔𝘄𝗮𝗿𝗱-𝗪𝗶𝗻𝗻𝗶𝗻𝗴 𝗪𝗼𝗿𝗸𝗽𝗹𝗮𝗰𝗲
𝗡𝗮𝗺𝗲𝗱 𝗮 𝗧𝗶𝗺𝗲𝘀 & 𝗦𝘂𝗻𝗱𝗮𝘆 𝗧𝗶𝗺𝗲𝘀 𝗕𝗲𝘀𝘁 𝗣𝗹𝗮𝗰𝗲 𝘁𝗼 𝗪𝗼𝗿𝗸 – 𝟮𝟬𝟮𝟰, we’ve built a reputation for excellence over our 9-year history. Our accolades include:

"Best Agency to Work For"
"Best Candidate Experience"
"Best SME Agency"
"Most Inspiring Newcomer"

𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗠𝗼𝗿𝗲
𝗧𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗵𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘆𝗼𝘂𝗿 𝗿𝗲𝗰𝗿𝘂𝗶𝘁𝗺𝗲𝗻𝘁 𝗻𝗲𝗲𝗱𝘀, 𝘃𝗶𝘀𝗶𝘁 𝘂𝘀 𝗮𝘁 𝘄𝘄𝘄.𝗼𝗮𝗸𝘄𝗲𝗹𝗹𝗵𝗮𝗺𝗽𝘁𝗼𝗻.𝗰𝗼𝗺.

📸 𝗵𝘁𝘁𝗽𝘀://𝘄𝘄𝘄.𝗶𝗻𝘀𝘁𝗮𝗴𝗿𝗮𝗺.𝗰𝗼𝗺/𝗼𝗮𝗸𝘄𝗲𝗹𝗹_𝗵𝗮𝗺𝗽𝘁𝗼𝗻
🎥 𝗵𝘁𝘁𝗽𝘀://𝘄𝘄𝘄.𝘁𝗶𝗸𝘁𝗼𝗸.𝗰𝗼𝗺/@𝗼𝗮𝗸𝘄𝗲𝗹𝗹𝗵𝗮𝗺𝗽𝘁𝗼𝗻𝗴𝗿𝗼𝘂𝗽

Industry: Staffing and Recruiting
Company Size: 11-50 employees

Oakwell Hampton Group

We are a fast-growing startup backed by an Nvidia VP, working alongside top AI labs and global tech companies to build the foundational data layer that will power the next generation of AI-driven drug discovery.

We are conducting a confidential search for a senior scientific leader to oversee and execute our data strategy. We need a scientist who can lead—not just manage—and who brings a wealth of "big pharma" clinical experience to the table.

**The Role **

As our Principal Scientific Data Scientist, you will ensure our data is world-class, rigorous, and ready to train the AI models that will discover tomorrow's breakthrough therapeutics.

You will:

- Lead the day-to-day operations and strategic direction of our biological data layer across multiple concurrent projects.

- Leverage your deep expertise in bioinformatics and Real-World Data (RWD) to translate complex clinical needs into precise data specifications.

- Draw heavily on your background in global pharma clinical programs to personally examine, validate, and enforce the scientific rigor of our data generation pipelines.

- Manage a distributed network of PhD-level expert contractors to recruit, brief, review, and iterate on scientific data generation.

**The Ideal Candidate **

- **Education: ** Ph.D. in Bioinformatics, Computational Biology, Pharmacology, or a closely related life sciences field.

- **Domain Expertise: ** Extensive experience working within global pharmaceutical companies, with a strong focus on clinical programs and translational research.

- **Technical Skills: ** Deep bioinformatics expertise with a proven track record of handling Real-World Data (RWD), multi-omics datasets, and clinical trial data analysis pipelines.

- **Leadership: ** Demonstrated experience leading computational teams, managing complex data operations, and taking ownership of end-to-end data quality.

- **Mindset: ** Detail-obsessed, fast-moving, and possessing a "builder" mentality—you are a scientist first who understands the biology and can build the infrastructure to support it.

**Why Join? ** This is an opportunity to join a founding team with real equity and make a massive impact at the most exciting intersection in biotech today: AI and drug discovery.

If you are a seasoned pharma scientist who is tired of big pharma bureaucracy and wants to build infrastructure that matters, we want to hear from you

Principal Scientific Data Scientist

KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging and printed circuit boards. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.

Visit us at: www.kla.com

Statements made on LinkedIn may constitute forward-looking statements under federal securities laws.  These forward-looking statements involve risks and uncertainties that could significantly affect the expected results and are based on certain key assumptions. Due to such uncertainties and risks, no assurances can be given that such expectations will prove to have been correct, and readers are cautioned not to place undue reliance on such forward-looking statements, which speak only as of the date indicated. Other risks that KLA faces include those detailed in KLA filings with the Securities and Exchange Commission, including KLA's annual report on Form 10-K and quarterly reports on Form 10-Q.  Forward-looking statements made by third parties do not necessarily reflect the opinion of KLA, are outside of KLA’s control and have not been verified or otherwise vetted by KLA.

Industry: Semiconductor Manufacturing
Company Size: 10,001+ employees

**Company Overview**

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

**Group/Division**

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.

**Job Description/Preferred Qualifications**

We are looking for a Systems Engineer who is motivated to work at the intersection of experimental science, sophisticated systems, and real-world product development. This is a highly hands-on role! If you enjoy being in the lab, working directly on tools, and learning by building, testing, and troubleshooting, this is for you. You will partner with experienced engineers to help develop next-generation electron-beam imaging systems, contributing across the full product lifecycle, from early prototypes to first customer deployments. This role is designed for someone who is curious, proactive, and eager to learn how sophisticated systems come together across hardware, software, and applications.

**What You’ll Do**

- Build & Test Systems: Support design, integration, and validation of subsystems and full systems

- Run Experiments: Set up experiments, collect data, and analyze results to understand system behavior

- Troubleshoot Issues: Diagnose problems, identify root causes, and help implement solutions

- Collaborate Across Teams: Work with mechanical, electrical, software, and algorithm engineers

- Support Prototypes & Field Systems: Assist with early builds, system readiness, and customer-facing tools

- Continuously Improve: Contribute ideas to enhance performance, reliability, and test methods

**Required Qualifications:**

- Advanced Degree in Physics, Engineering Physics, Engineering Design, Mechanical Engineering, Electrical Engineering, Materials or Metallurgical Engineering

- Proven track record to set up experiments, perform modeling and data analysis, and solve complex technical problems

- Hands-on experience in experimental or lab environments (research, internships, or industry)

- Experience with machine control and/or scientific data analysis

- Proficiency in scripting (MATLAB, Python, or similar) for data collection and analysis

- Strong communication, interpersonal skills, and ability to create effective technical presentations

**Preferred:**

- Knowledge of instrumentation, signal processing, and optical/electro-optical systems (e.g., electron microscopes)

- Exposure to vacuum systems, electron optics, and high-voltage systems (SEM or similar)

- Experience supporting prototype systems or advanced lab equipment

**Ideal Candidate:**

- Curious, hands-on, and motivated to learn by doing

- Enjoys building, testing, and improving real systems

- Brings examples of solving technical challenges through experimentation

- Thrives in collaborative, fast-paced environments

**Minimum Qualifications**

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Base Pay Range: $117,800.00 - $200,300.00 Annually

Primary Location: USA-CA-Milpitas-KLA

KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Systems Engineer (Electron Beam)

**About The Opportunity And Team**

Social Media, Creators, and Communities are transforming how brands build relevance and long-term customer relationships. These channels generate rich, fast-moving signals across culture, conversation, sentiment, and performance—introducing new challenges around measurement, attribution, and sustained impact across the entire customer journey.

Within the Growth Marketing & Insights organization, our team develops actionable Category & Customer Insights and measures Marketing Effectiveness as our dual purpose. We are a multidisciplinary team of change agents—data scientists, strategists, and analysts—who thrive in ambiguity, move fast with rigor, and tackle complex, evolving challenges. We enable decisions at the E-Team level and help the business move from insights to execution to growth. We partner closely with Marketers, Product, GTM, and Finance to bring clarity to emerging problem spaces.

**About The Role**

We’re looking for a Manager, Social & Influencer Measurement to lead how we define, measure, and optimize success across Social, Influencer, and Community marketing. It drives full-stack measurement and strategic impact for Adobe’s Social Marketing in Organic, Paid, and Earned channels.

You will be a builder of teams, systems, and standards, not only keeping pace with a fast-moving field, but leading innovation within it. You’ll manage and develop analytics and data science talent, own end-to-end measurement frameworks, and serve as a trusted thought partner to senior marketing leaders.

What You’ll Do

- Shape how Social and Influencer impact is measured and quantified, how insights are produced at scale, and how those insights translate into confident decisions, actions, and meaningful business outcomes.

- Lead and grow a team of analysts and data scientists, setting clear direction, prioritizing the right work, coaching for impact, and building durable systems that scale team effectiveness.

- Measure and evaluate end-to-end social-first initiatives (campaigns, announcements, launches, events), establishing reporting and optimization metrics across the funnel.

- Translate ambiguous and multi-dimensional signals into structured analysis, developing proxies and heuristics to connect upper-funnel outcomes (reach, attention, engagement, sentiment, influence) to business results (e.g., MAU, LTV, ARR).

- Set quarterly goals and establish operating rhythms. Monitor weekly and sometimes daily performance. Use data to guide investment and budget decisions across content creation and paid media. Balance customer acquisition cost, return on investment, and long-term brand impact.

- Build and scale analysis pipelines and data foundations, partnering with Data Engineering to ensure data quality, metric integrity, and reliable insights at scale; work with large, complex datasets, including text and social conversation data.

- Adopt and champion AI-first workflows (e.g., assisted analysis, synthesis, and reporting) to improve team productivity, speed to insight, and analytical leverage—while maintaining strong judgment, rigor, and accountability.

**What You’ll Need To Succeed**

Leadership & Management

- Over 3 years managing people, demonstrating success in building, leading, and developing high-performing analytics or advanced data analysis teams.

- Demonstrated ability to set priorities and expectations, manage tradeoffs, and drive execution in a fast-moving, ambiguous environment.

- A leadership style that is curious, results-focused, and grounded in ownership, continuous learning, and pushing the standard higher.

Analytics & Systems Thinking

- 8–10+ years of experience in marketing analytics, growth analytics, product analytics, or data science, with exposure to social, influencer/creator, or community measurement.

- Proven judgment solving problems without clear playbooks or ground truth, including non-routine analytical challenges requiring advanced analytical, statistical, or experimental methods.

- Strong analytical reasoning and comfort working with imperfect, fragmented, or non-attributable data.

Communication & Influence

- Ability to understand complex systems and explain them simply to both technical and non-technical audiences.

- Proven experience influencing senior and executive partners through clarity, structure, and data-driven storytelling.

- Trusted partner attitude with strong cross-functional instincts in large, matrixed organizations.

**Nice to Have**

- Experience with influencer/creator platforms, social listening tools, or content analytics

- Background in brand measurement, sentiment analysis, or community health metrics

- Experience scaling analytics practices for emerging or rapidly evolving marketing channels

**About Adobe**

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

**Let’s Adobe together**

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

**AI Use Guidelines for Interviews:**

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

**Expected Pay Range:**

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,100 -- $265,800 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $183,600 - $265,800

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

**State-Specific Notices:**

**California:**

**Fair Chance Ordinances**

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

**Colorado:**

**Application Window Notice**

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

**Massachusetts:**

**Massachusetts Legal Notice**

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.

Manager, Social & Influencer Measurement

Sonilo is an AI video-to-music platform that automatically generates perfectly synchronized soundtracks for your videos. By analyzing visuals, pacing, and emotion, Sonilo creates music that fits your content frame-by-frame—no editing or manual timing needed. Built for creators, filmmakers, and creative tools, it delivers fast, high-quality results and integrates seamlessly into modern video workflows.

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

Sonilo

**About the job **

Sonilo is a VC-backed AI music generation company building the next generation of soundtrack creation for video. Founded in Silicon Valley, Sonilo helps creators, brands, and platforms instantly generate original music that understands a video’s content, pacing, and exact duration — eliminating the need for manual editing, stock music searching, or beat matching. From short-form social content to cinematic storytelling, Sonilo enables anyone to turn silent videos into finished content in seconds through AI-powered music generation built for modern creators.

**Role Description **

As a Machine Learning Engineer, you will combine hands-on engineering with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting-edge large language models (LLMs) and diffusion models.

**What You'll Do **

Develop next-generation AI systems for video-to-music generation and multimodal creative workflows

Build and optimize AI-native product experiences that understand video content, pacing, emotion, and timing to generate high-quality music experiences

Design scalable model architectures and inference pipelines for multimodal generation

Work closely with product, design, and infrastructure teams to bring cutting-edge generative AI capabilities into production

**What You Need To Succeed **

Master’s or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field

Demonstrated experience in generative AI, multimodal systems, LLMs, diffusion models, music/audio generation, or AI agent development

Experience building scalable AI systems, model inference pipelines, or real-time AI applications

Strong foundation in machine learning, software engineering, data structures, and algorithms

Excellent problem-solving and analytical skills, with a proactive and ownership-driven mindset

Ability to move quickly and adapt in a fast-paced startup environment where priorities may evolve rapidly and ambiguity is common

Machine Learning Engineer

Avathon, a leader in Industrial AI, extends the life of critical infrastructure while advancing the journey toward full autonomy. Avathon’s Industrial AI platform empowers commercial and government customers with scalable, secure, and value-driven solutions that enhance efficiency and resilience across heavy industry.

Industry: Software Development
Company Size: 201-500 employees

Avathon

**Who We Are & Why Join Us**

**Avathon ** is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

**Cutting-Edge AI Innovation ** -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. **High-Growth Environment ** -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. **Meaningful Impact ** -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

**About The Role**

**Senior AI Engineer – Generative AI & LLMs**

At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing. As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade machine learning applications.

This role is ideal for someone with strong engineering depth who can bridge research and production—building robust AI platforms, optimizing LLM workflows, and delivering high-impact solutions across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation.

With 3–5 years of hands-on industry experience, you are expected to bring expertise in AI system design, ML engineering, LLM deployment, and scalable software development within fast-paced startup environments.

You Will

- Design, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications

- Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability

- Build scalable backend services and APIs for AI applications using modern engineering best practices

- Implement and productionize transformer-based models and GenAI workflows for enterprise use cases

- Design vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications

- Partner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions

- Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor

- Improve inference efficiency, latency optimization, cost management, and reliability of deployed AI systems

- Establish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments

- Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment

- Stay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering

You'll Have

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field

- 3–5 years of hands-on industry experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles

- Strong experience building and deploying LLM-based applications in production environments

- Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar

- Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases

- Experience building scalable APIs and backend systems supporting AI workflows

- Familiarity with cloud platforms such as AWS, GCP, or Azure

- Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability

- Experience with containerization, deployment pipelines, and collaborative engineering environments

- Strong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments

- Strong communication skills and ability to work cross-functionally with technical and business stakeholder

**Preferred Qualifications**

- Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems

- Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)

- Hands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection

- Exposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns

- Basic understanding of MLOps practices and model lifecycle management

- Experience working on applied AI projects in academic, internship, or startup settings

- Interest in industrial AI and asset-intensive environments

- Industry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

- Evolving culture with the opportunity to drive new ideas and technology

- Stock Option Grants

- Medical Coverage and Parental Leave Plans

- 401k with Employer Match

- Monthly Technology Allowance

- Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

~~Contract and temporary roles are not eligible for the above benefits.~~

**Compensation**

**Pay Range: ** $110k - $130k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

**Location: ** This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

~~Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.~~

~~Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you. ~~

AI Engineer

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

Industry: Professional Services
Company Size: 10,001+ employees

**Specialty/Competency: **Data, Analytics & AI

**Industry/Sector: **Not Applicable

**Time Type: **Full time

**Travel Requirements: **Up to 60%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

**Skills**

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships and developing a deeper understanding of the business context, navigating increasingly complex situations, and growing your personal brand and technical knowledge.

**Responsibilities**

-  Designing and implementing thorough data architecture strategies

-  Analyzing complex issues to create innovative solutions

-  Mentoring and guiding junior team members

-  Upholding standards in project deliverables

-  Building and maintaining client relationships

-  Developing a thorough understanding of the business environment

-  Managing and navigating complex scenarios effectively

-  Enhancing personal brand and technical skills

What You Must Have

-  Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

-  2 years of experience

What Sets You Apart

-  Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus

-  Designing and implementing thorough data architecture strategies

-  Developing and documenting data models, data flow diagrams, and data architecture guidelines

-  Maintaining data architecture compliance with data governance and data security policies

-  Collaborating with business stakeholders to understand their data requirements

-  Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage

-  Developing and deploying scalable data storage solutions using AWS, Azure and GCP services

-  Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow

-  Enhancing Cloud resources for cost, performance, and scalability

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Data Engineer - Senior Associate

Lam Research Corp. (NASDAQ:LRCX) At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. 

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.
The impact we have on the world is made possible by focusing on our people. We recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. 

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible. 

Ready to help define the future of technology? Join us: www.lamresearch.com/careers

Industry: Semiconductor Manufacturing
Company Size: 10,001+ employees

Lam Research

**The group you’ll be a part of**

Global Information Systems

**The impact you’ll make**

As a lead data and cloud architect supporting digital transformation in GBIS (Global Business Intelligence Solutions) group at Lam Research, you'll be responsible for designing and developing data engineering and integration solutions for future systems. Your role includes drafting specifications, creating solution designs, coordinating with development teams, and collaborating with data architecture, business, and development groups. You'll also advise application and business development teams on complex analytics design, ensuring alignment with Data and Analytics Hub principles, standards, and strategies.

**What You’ll Do**

- Use leadership skills to drive process, data, analytics, and AI design from discovery to delivery.

- Collaborate with Business and GIS stakeholders to support big data platform initiatives and provide direction on defining data strategy and architecture for cloud-native platforms.

- Design and develop data engineering solutions and data governance specifications as part of digital transformation processes.

- Participate in business transformation workshops with subject matter experts to identify data and process gaps, proposing scalable data and analytics architectures to address those needs.

- Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement.

- Offer guidance and insights on emerging data analytics trends and technical capabilities that can enhance digital transformation across the company.

- Demonstrate advanced data and analytics solutions to digital transformation teams, showing the potential of the Data Fabric platform with proof-of-concept projects.

- Develop, uphold, and advocate for advanced analytics standards and procedures throughout the GIS Data Hub across the entire organization.

- Design planning and analytics solutions by integrating Workday Adaptive with the Azure analytics stack (Microsoft Fabric, Synapse, Power BI), including ETL/ELT pipelines to support enterprise decision-making.

- Build strong relationships with key business sponsors and IT resources to efficiently resolve work requests.

**Who We’re Looking For**

- Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master's or PhD preferred.

- Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.

- Over 10 years of SQL experience with cloud-native data warehousing and data modeling.

- Over 5 years of experience in building and supporting FP&A applications, integrating platforms such as Workday Adaptive, Anaplan, SAP BPC etc. with ERP systems and Azure data platform.

- Over 5 years of experience configuring Azure cloud and SaaS platforms and building automated ETL/ELT pipelines for real-time, streaming and batch data exchange.

- Minimum of 3 years working extensively with Spark and Python technologies for big data processing.

- At least 3 years of hands-on experience implementing end-to-end medallion architecture using Databricks or similar cloud tools.

- Proven background in schema design and dimensional data modeling.

- Comprehensive knowledge of data warehouse best practices, development standards, and methodologies using platforms like MS Fabric, Azure Synapse, Redshift, etc.

- Skilled communicator and presenter, with a record of leveraging insights to influence executives and team members.

**Preferred Qualifications**

- Experience with financial planning platforms and related business processes (eg: budgeting, forecasting and long-term planning) is a plus.

- Strong background in working with and analyzing large datasets, particularly in IoT and enterprise domains.

- Preferred: Strong computer science and mathematics foundation.

- Excellent SQL/query writing skills and communication abilities.

- Familiarity with common APIs, such as REST and SOAP, is advantageous.

**Our commitment**

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

~~Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.~~

**Salary**

Salary Range for this position: $137,000.00 - $287,000.00.

The above salary range for this position is relevant to applicants that reside in California and most states. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

**Our Perks And Benefits**

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Lead Data and Cloud Architect

Hayden AI powers safer, smarter, and more efficient cities. We combine advanced vision AI with purpose-built, vehicle-mounted hardware to analyze urban environments real-time. Cities use our technology to make streets safer and improve transit performance for everyone. Learn more at www.hayden.ai

Industry: Software Development
Company Size: 51-200 employees

Hayden AI

**About Us**

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

**Job Summary**

Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

**Responsibilities**

- Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

- Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

- Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

- Serve as first responder for data discrepancy and freshness issues.

- Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

- Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

- Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

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

**Required Qualifications**

- Bachelor's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

- 1–3 years of experience in data analytics

- Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

- Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

- Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

- Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

- Solid understanding of descriptive statistics and ability to interpret analytical results.

- Strong communication skills with the ability to present findings to both technical and business audiences.

**Preferred Qualifications**

- Master's or PhD in Data Science, Transportation, or a related field.

- Previous experience working with geospatial analytics and spatial datasets.

- Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

- Experience with Grafana or similar operational monitoring tools.

- Exposure to cloud platforms, especially AWS.

- Prior experience in a startup environment and a desire to make a significant impact.

Data Analyst

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