Algoteque is a leading IT consultancy with over 15 years of experience driving innovation and digital transformation for clients across multiple sectors, including Banks, Insurance, FinTech, Telco, Media, Industry, Pharma, Energy, Travel, Aeronautics, Retail, FMCG, E-Commerce, and Tech Companies.

We specialize in a wide range of services:
* Software Development
* Engineering Services
* AI & Machine Learning
* Test Automation
* Cybersecurity & Identity Management
* Data Science
* Process Automation
* Near-shore Services
* Technology Outsourcing

With a vast network of over 40,000 highly skilled engineers and consultants across 100+ technical specialties, we rapidly assemble expert teams tailored to meet the specific needs of each client. 

Our nearshore services offer scalability, time zone alignment, and a dedicated team structure, ensuring seamless collaboration and faster project delivery, all while adhering to strict cybersecurity and compliance standards. Our flexible engagement models, including fixed price and time & materials, enable us to deliver results in Agile methodologies.

Headquartered in Poland, we are also established in the Czech Republic, UK, US, and Netherlands, supporting clients globally in their digital transformation journeys.

Visit us at www.algoteque.com or reach out to us at contact@algoteque.com to learn more.

Industry: Technologie i usługi informatyczne
Company Size: 201-500 pracowników

ALGOTEQUE Innovation Hub

Savvy Admin PROD

ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies. Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.

**Job Description**

We are looking for a Data Scientist to design and optimize scalable data solutions supporting analytics, reporting, and advanced data-driven initiatives. The role focuses on data modeling, ETL/ELT design, automation, and enabling efficient data consumption across BI, analytics, and application environments.

**Responsibilities**

-  Design and develop ETL/ELT pipelines and scalable data workflows.

-  Build and optimize data models, data lakes, and data warehouse solutions.

-  Implement data pipeline automation using CI/CD practices.

-  Monitor data jobs and troubleshoot failures or performance issues.

-  Enable data consumption for BI tools, dashboards, analytics teams, and APIs.

-  Process and manage structured and semi-structured datasets (CSV, JSON, Parquet, etc.).

-  Optimize data solutions for analytics, reporting, and scalability.

-  Collaborate with cross-functional teams to support business and analytical needs.

**Profile / Requirements**

-  Strong experience with data engineering concepts, ETL/ELT design, and data modeling.

-  Advanced proficiency in Python and SQL.

-  Strong SQL skills for data transformation and analysis.

-  Experience designing and managing data lakes and data warehouses.

-  Experience working with structured and semi-structured data formats.

-  Understanding of CI/CD practices and data pipeline automation.

-  Strong analytical and problem-solving skills.

-  Ability to work effectively with technical and business stakeholders.

**Nice To Have**

-  Knowledge of Java or Scala.

-  Experience supporting BI, analytics, or API-driven data solutions.

-  Familiarity with cloud-based data platforms.

-  Experience with large-scale data processing and optimization.

AO4190

Data Scientist

The American Arbitration Association® (AAA®), with its long history and experience in the field of alternative dispute resolution, provides services to individuals and organizations who wish to resolve conflicts out of court.

The AAA role in the dispute resolution process is to administer cases, from filing to closing. The AAA provides administrative services in the U.S., as well as abroad through its International Centre for Dispute Resolution® (ICDR®). The AAA's and ICDR's administrative services include assisting in the appointment of mediators and arbitrators, setting hearings, and providing users with information on dispute resolution options, including settlement through mediation. Ultimately, the AAA aims to move cases through arbitration or mediation in a fair and impartial manner until completion.

Additional AAA services include the design and development of alternative dispute resolution (ADR) systems for corporations, unions, government agencies, law firms, and the courts. The Association also provides elections services as well as education, training, and publications for those seeking a broader or deeper understanding of alternative dispute resolution.

Industry: Alternative Dispute Resolution
Company Size: 501-1,000 employees

American Arbitration Association

The American Arbitration Association is an equal opportunity employer (EEO) and considers all employees and applicants for positions without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, or status as a covered veteran in accordance with applicable federal, state and local laws.

If you are unable to complete your application, you may request a disability accommodation and submit your information through an alternative method by contacting the Human Resources Department via email- [email protected].

**Description**

Data Scientist (2026-61)

**Overview**

The American Arbitration Association (AAA) is seeking a Data Scientist to serve as a strategic partner in leveraging data, machine learning, and Generative AI technologies to drive business insights and innovation across the organization. This role will work closely with engineering, analytics, and business teams to develop intelligent data products, build predictive models, analyze structured and unstructured data, and deliver actionable insights that support organizational decision-making.

The ideal candidate brings deep experience in statistical analysis, machine learning, and AI technologies, including large language models (LLMs), along with the ability to translate complex findings into practical business solutions.

Work Environment

This position offers a hybrid or remote work arrangement; candidates must reside at a U.S. location within 125 miles of their assigned location. Compensation will be determined based on geographic location.

**Compensation**

Miami, FL; Charlotte, NC; San Antonio, TX

$125,000 - $133,000

Dallas, TX; Fresno, CA; Buffalo, NY; Atlanta, GA

$133,000 - $140,000

Houston, TX; Johnston, RI; Minneapolis, MN

$135,000 - $143,000

Philadelphia, PA; Voorhees, NJ; Chicago, IL

$141,000 – $149,000

Boston, MA; Los Angeles, CA; Central, NJ

$147, 000 – $155,000

New York, NY; San Francisco, CA

$157,000 – $166,000

This position is also eligible for an annual performance-based incentive.

Our competitive compensation package includes, medical, dental, orthodontia, and vision coverage, a student loan repayment program, a 403(b) retirement plan with substantial company match, discounted pet insurance, and generous paid time off.

**Qualifications**

- Master’s, PhD, or Bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field required

- 7+ years of professional experience manipulating data sets and building statistical models, or an equivalent combination of education and experience

- Advanced experience with predictive modeling, machine learning, statistical analysis, and pattern recognition

- Strong proficiency in programming languages such as Python, R, SQL, Java, JavaScript, C, or C++

- Experience with data mining techniques including regression analysis, random forests, boosting, decision trees, text mining, and social network analysis

- Experience designing and implementing AI and Generative AI solutions, including LLM-based applications and NLP models

- Proficiency with Tableau or similar data visualization tools

- Strong written and verbal communication skills with the ability to present complex technical findings to diverse audiences

- Demonstrated analytical thinking, attention to detail, collaboration, initiative, and problem-solving abilities

- Ability to manage multiple priorities while maintaining high standards for data quality, integrity, and confidentiality

**About Us**

The American Arbitration Association (AAA), recognized among The NonProfit Times' 50 Best Nonprofits to Work For, offers a dynamic, fast-paced environment where excellence meets opportunity. Our organization leads arbitration and mediation across diverse industries, providing professionals with unique exposure to multiple business sectors and conflict resolution practices. We foster growth through collaboration with experienced legal professionals and invest in our team through comprehensive professional development programs. At the AAA, we combine challenging work with meaningful recognition in an environment where merit drives success and learning never stops.

~~The American Arbitration Association is an equal opportunity employer (EEO) and considers all employees and applicants for positions without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, or status as a covered veteran in accordance with applicable federal, state and local laws. ~~

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Make it real.
www.capgemini.com

Industry: Services et conseil en informatique
Company Size: + de 10 000 employés

Capgemini

**Position Title : AWS Data Scientist **

**Location : Malvern, PA (Onsite/Hybrid) **

**Experience : 8+ Years **

**Employee Type : Full Time with Benefits **

**Job Description **

We are looking for a highly experienced **AWS Data Scientist ** with deep expertise in **Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming ** to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.

**Required Skills & Qualifications **

- Minimum **8+ years of experience ** in Data Science, AI, or Machine Learning

- **Strong hands-on expertise in AI & ML **, including supervised and unsupervised learning, NLP, or deep learning

- **Advanced Python programming skills **, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch

- Extensive experience with AWS, especially **SageMaker, S3, Redshift, Glue, Athena, Lambda **

- Strong foundation in statistics, predictive modeling, and ML algorithms

- Proficiency in SQL and experience with data visualization techniques

- Excellent communication and stakeholder management skills

**Key Responsibilities **

- Design, develop, and deploy AI/ML models and data science solutions on AWS

- Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR

- Perform advanced data analysis, feature engineering, model training, and optimization using Python

- Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift

- Implement MLOps practices for model deployment, monitoring, retraining, and version control

- Translate complex business problems into AI/ML-driven solutions

- Ensure adherence to data security, governance, and compliance standards

**Preferred Qualifications **

- AWS Certifications (Machine Learning – Specialty or Solutions Architect)

- Experience with big data technologies such as Spark

- Exposure to real-time or streaming data pipelines

- Background in financial services or regulated industries

If your Interested, Kindly, share us your resume on **abuzar.umar@capgemini.com **

**Life At Capgemini **

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

- Flexible work

- Healthcare including dental, vision, mental health, and well-being programs

- Financial well-being programs such as 401(k) and Employee Share Ownership Plan

- Paid time off and paid holidays

- Paid parental leave

- Family building benefits like adoption assistance, surrogacy, and cryopreservation

- Social well-being benefits like subsidized back-up child/elder care and tutoring

- Mentoring, coaching and learning programs

- Employee Resource Groups

- Disaster Relief

**Disclaimer **

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

AWS Data Scientist

Schireson is a leading data science firm delivering transformative solutions in marketing and media. 

We believe the transformational potential of data science requires the combination of superior technical capabilities and deep business context. This allows us to solve key business issues for our clients and drive meaningful improvements to revenue and profitability. 

Schireson has offices in New York, Seattle, Boston, Austin and San Francisco.  

Our services include:

Marketing Strategy: Qualitative and quantitative market research services that deliver unique reports and marketing strategy insights to advertisers

Media Optimization: Data science solutions that facilitate efficient, transparent and profitable advertising placement for media publishers

Marketing and Media Activation: Connects Schireson’s audience segmentation capabilities with its campaign optimization technology to allow clients to better plan and execute their advertising campaigns

Industry: Business Consulting and Services
Company Size: 51-200 employees

schireson

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Software Engineer

Remote

**WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS**

Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.

~~Ad Age ~~ touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on ~~The A-List ~~as one of the top agencies in the world, and~~Ad Age’s ~~ Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: ~~Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, ~~and~~Digiday’s Most Innovative Media Agency ~~to name a few.

We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely.

**But Enough About Us, Let's Talk About You**

As a Software Engineer at Known, you can expect to work closely with Engineers, Product Managers, and Data Scientists. You’ll join small, highly focused teams where you’ll have the opportunity to contribute significantly to our products and the company’s broader technical culture.

Because our work is often project-driven, we are constantly reevaluating and updating our tech stack, which means you’ll always learn new skills and develop expertise in industry-leading technologies.

You’ll be writing Python day-to-day on the backend to author FastAPI APIs, build pipelines, and craft distributed systems. **As we push the boundaries of our platform, you will have the opportunity to build and deploy agentic AI systems that leverage the latest in LLM orchestration and cloud tech. ** You’ll be building web UIs in Typescript and Vue. You’ll use Docker and Helm to deploy your containerized applications to our Kubernetes clusters. You’ll be using Terraform to spin infrastructure up and down.

Finally, if you’re interested, you may be contributing to open source (we actively promote open-source projects internally; check out pytest-mock-resources, one of our in-house custom plugins).

**What You'll Do**

- Design and build full-stack web applications in Python

- Create performant Web APIs with FastAPI

- Implement agentic AI systems using the latest LLM orchestration frameworks to automate complex workflows and enhance our products

- Integrate with industry-standard datastores like PostgreSQL and Snowflake

- Design asynchronous and event-driven services

- Produce robust ETL pipelines with Argo Workflows

- Deploy these applications across multiple environments with Docker, Helm, and Kubernetes

- Work closely with data scientists and product managers on a wide variety of products and projects that span the marketing and advertising industries across both television and digital

- Play an active role in designing and building new, cutting-edge products

**Who You Are And What You Have**

- Strong communication and teamwork skills

- 1-2+ years of professional experience building and maintaining production applications in Python

- Deep understanding of Python as a language

- Experience with SQL and relational databases, experience with SQLAlchemy is a plus

- Experience with Docker and Kubernetes is a plus

- Experience with ETL, or message-oriented architectures is a plus

- Experience with UI frameworks, such as Vue or React, is a plus

**SOME OF OUR PERKS**

- Unlimited paid time off

- 401k with company matching and no vesting period

- Annual bonuses

- Generous medical plan

- Paid parental leave

**ONE LAST THING TO ASK YOURSELF**

~~All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values.~~

~~Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class.~~

**The base salary for this position is $100K-$130K**

** **** ****This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.**

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Software Engineer
Remote

Welcome to DataAnnotation! We pay smart folks to train AI. We offer a remote, flexible work model- you choose your own hours and get to work when you want, whenever you want. Apply now through our open Job Listings.

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

DataAnnotation

We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.

**Benefits**

- This is a full-time or part-time REMOTE position

- You’ll be able to choose which projects you want to work on

- You can work on your own schedule

- Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work

**Responsibilities**

- Give AI chatbots writing and editing tasks and evaluate their outputs

- Evaluate the quality produced by AI models for correctness and performance

**Qualifications**

- Fluency in English (native or bilingual level)

- Detail-oriented

- Demonstrated proficiency in related technical, statistical, and mathematical skills

- A current, in progress, or completed Masters and/or PhD is preferred but not required

**Notes**

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.

#math

Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.

Industry: Ground Passenger Transportation
Company Size: 5,001-10,000 employees

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Lyft Urban Solution team is developing the future of micromobility and is looking for a Data Scientist to inform and drive decision-making that charts the way. From New York’s Citi Bike to San Francisco’s Bay Wheels, our micromobility systems depend on smart data-informed decisions to operate efficiently and at scale. Analyses, insights, and algorithms guide both planning and operations, and we’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in micromobility.

The set of problems tackled by the Lyft Urban Solutions Operations Technology Team is incredibly diverse. They cut across optimization, prediction, simulation, inference, transportation, analytics and mapping. We collaborate with and inform a wide range of stakeholders, from executives to hardware specialists to local market operations teams. We're looking for someone who is passionate about solving mathematical problems with data, and is excited about working in a fast-paced, innovative and collegial environment.

**Responsibilities:**

- Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context

- Perform exploratory data analysis to gain a deeper understanding of the problem

- Develop, calibrate, refine, and leverage numerical models (e.g., statistical, simulation)

- Collaborate with Software Engineers to, refine, monitor and troubleshoot algorithms in production

- Design and implement both simulated and live experiments

- Analyze experimental and observational data; communicate findings; guide feature launch and capital/operational spending decisions

**Experience:**

- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, Engineering or other quantitative fields or related work experience

- 3+ years professional experience in a technology or transportation/logistics company settingPassion for solving unstructured and non-standard mathematical problems and experience building models (especially statistical and simulation - optimization is a bonus)

- End-to-end experience with data, including SQL querying, aggregation, analysis, and visualization

- Proficiency with Python, ideally including both exploratory analyses/visualizations and building models which inform ongoing decision making

- Ability to collaborate and communicate effectively with others to solve problems and align on decisions

**Benefits:**

- Great medical, dental, and vision insurance options with additional programs available when enrolled

- Mental health benefits

- Family building benefits

- Child care and pet benefits

- 401(k) plan with company match to help save for your future

- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off

- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

- Subsidized commuter benefits

- Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Data Scientist, Supply and Operations Technology, Lyft Urban Solutions

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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

The Walt Disney Company

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

- Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

- Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.

- Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

**Summary**

As a Data Analyst, you will be responsible for assisting the Digital Ad Sales Business Intelligence Product group, within the DEE Technology team – working with a high performing and growing team to help business partners drive decisions with data. We are looking for an experienced and curious data analyst who will support the Ad Platform organization - uncovering relationships, confirming hypotheses, and providing findings/recommendations through exploration and analysis. This is an exciting opportunity for someone that is looking to work and spearhead monumental change across the Disney Ad Sales organization and ultimately grow into a product role within the team.

**Responsibilities**

- Use internal and external analytics tools, SQL, and to access and analyze data

- Conduct deep dives to diagnose business challenges, drivers of performance, and resulting issues/opportunities to grow Disney’s advertising product lines and business

- Build data visualizations and cross-functional enterprise reports that align to client program objectives and various audiences

- Provide regular support to internal users; act as a company expert for Microstrategy/BI Dashboard usage

- Partner with Ad Product teams to define and automate routine analysis and reporting to track and manage performance

- Document and communicate results of analysis with product team to support future enhancements and initiatives within the Digital BI Program.

- Collaborates with other product managers to help define requirements for business intelligence products to meet business needs.

- Evaluate business processes, anticipate upcoming priorities, un-cover areas for improvement and help develop/implement solutions.

- Advocates for business needs with product and engineering partners, ensuring products and their features are clearly understood and documented

**Skills & Experience**

- Bachelor’s degree in at least one of the following disciplines, or relevant work experience: Mathematics, Computer Science, Information Systems, Business Management, Economics

- Minimum of 3 years of experience in a data analysis or in management consulting, demonstrating strong analytical skills

- Ability to read/write complex SQL queries to analyze data

- Understanding of data warehouse concepts, data modelling, and database schemas

- Experience with various business intelligence tools such as Microstrategy, Tableau etc.

- Strong written documentation and presentation skills, using the Microsoft Office suite of tools (i.e., Excel, Word, PowerPoint, etc.)

- Experience with work management and documentation tools, preferably Jira, and Confluence

#DISNEYTECH

The hiring range for this position in New York, New York is $102,100.00 to $136,900.00 per year and in Glendale, California is $97,500 to $130,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Data Analyst

We deliver mission-critical insights and tools for impact makers worldwide. Advancing human progress by providing solutions for better outcomes, global outreach, and stakeholder engagement. 

Let's shape progress together.

Industry: IT-services en consultancy
Company Size: 5.001 - 10.000 medewerkers

Elsevier

About the team, this team that powers Elsevier’s Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world’s largest medical and scholarly landscapes.

About the role, as a Senior Machine Learning Engineer you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality.

**Key Responsibilities **

ML & LLM Engineering, Search and Recommendation Engines

- Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI).

- Maintain and version model registries and artifact stores to ensure reproducibility and governance.

- Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.

- Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.

- Scale end-end custom Sagemaker pipelines.

- Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted.

- Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs .

- Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing.

- Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization.

- Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems.

**Collaboration **

- Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions

- Collaborate and interface with Operations Engineers who deploy and run production infrastructure.

**Qualifications **

- Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.

- Strong Python, Java, and/or Scala experience will be considered a plus.

- Hands-on‑ experience with major cloud vendor solutions (AWS, Azure and/or Google)

- Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j).

- Experience in evaluating LLM models.

- A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics.

- Background in health technology and/or medical content workflows is preferred.

- Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark.

- Experience with large-scale data processing systems, e.g., Spark.

- Experience with statistical analysis, machine learning theory and natural language processing.

Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.

ML OPs Engineer

NGP delivers end-to-end digital transformation, technology consulting services and has enabled clients across the globe to stay ahead of the competitive curve. NGP today stands tall as leading IT company with over a decade of onsite and offshore engagements. Our deep expertise in product engineering, technology innovation and staffing solutions has helped clients turn IT into strategic assets. Whether you want to create digital products or want to formulate a strategic roadmap, we help you engineer your digital tomorrow.

NextGenPro provides business and technology solutions based on unparalleled industry knowledge and proven best practices along with corporate training. The results our clients obtain are significantly improved performance and maximized return on investment. NextGenPro measures success based on our client’s success.

We supply a broad range of IT application solutions and services including e-Business solutions, Enterprise Resource Planning (ERP) Implementation and Post Implementation Support, Application Development, Application Maintenance, Data Warehousing, Software Customization, Remote Database Administration and Business Process Outsourcing services. NextGenPro and its affiliates deliver the services through their multiple offices in United States and India . NextGenPro maintains software development centers in India located at Hyderabad, Noida and Chennai. To accommodate the needs of clients worldwide, NextGenPro also has business development offices in major countries.

Industry: IT Services and IT Consulting
Company Size: 11-50 employees

NextGenPros Inc

Requirements:· 8+ years of experience building production ML inference systems.

· Demonstrated ownership of deep-learning inference optimization in production (quantization, distillation, compilation, kernel/profile-level performance work) for transformer NLP and/or CV models.

· Experience with both TensorFlow (SavedModel, tf.data, XLA, TFLite) and PyTorch (TorchScript, ONNX, FastAPI/TorchServe)

· Hands-on experience optimizing inference pipelines on AWS infrastructure, ideally across different types of media assets.

· Experience with video frameworks/tools (e.g., FFmpeg), and working with large-scale frame-level inference.

· Demonstrated experience monitoring and debugging model latency, memory, and pipeline throughput.

· Experience with hybrid search architectures (BM25 + vector search + cross-encoder reranking).

· Familiarity with OpenAI APIs or other foundation model providers.

· Familiarity with open source HuggingFace LLMs.

· Experience with data pipeline and workflow orchestration tools (e.g., Airflow)

Machine Learning Engineer

Join us as we celebrate 50 years of empowering our 50 million investor-owners.* Since our founding in 1975, we’ve been on a mission to help investors achieve their goals.

With no outside shareholders to answer to, we make decisions—including keeping investing costs as low as possible—with our clients’ needs in mind. Whether you’re investing for your first house, college for your kids, or a comfortable retirement, you can be confident we’re on your side.

We are a community that thinks—and feels—differently about investing. Together, we’re changing the way the world invests. Let’s celebrate 50 years together.

Community guidelines: vgi.vg/sgl1

*As of January 2025

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

Vanguard

Vanguard is investing in advanced technologies that strengthen our global investment and finance platforms and improve outcomes for clients. We are seeking a **Head of Innovation & Emerging Technology ** to lead the research, engineering, and responsible adoption of artificial intelligence and emerging technologies across Global Investment & Finance Systems (GIFS).

This senior leader will oversee multidisciplinary teams spanning AI research and innovation, AI engineering, and AI governance and application. The role partners closely with Investment Management, Finance, Enterprise Technology, Risk, and Data leaders to translate emerging technologies into scalable, production‑grade solutions in a highly regulated environment.

**What You’ll Do**

- Define and execute the strategic roadmap for AI and emerging technologies supporting GIFS.

- Lead AI research and innovation efforts, translating new techniques into prototypes, reusable patterns, and enterprise capabilities.

- Oversee engineering teams building and operating production‑grade AI platforms, applications, agents, and data pipelines.

- Establish AI architecture standards, operational resilience, and scalable engineering practices.

- Define and operationalize governance frameworks to ensure ethical, secure, compliant, and auditable AI use.

- Partner with business and technology leaders to shape use cases, drive adoption, and deliver measurable outcomes.

- Lead talent development, budgeting, prioritization, and multi‑year strategic planning.

- Represent AI and emerging technology initiatives in senior leadership and enterprise forums.

- Explore practical applications of emerging technologies beyond AI, including distributed ledger and quantum technologies.

**Qualifications**

- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.

- 10+ years of experience in AI/ML, advanced analytics, or large‑scale engineering, including 5+ years leading senior technical teams.

- Demonstrated experience delivering enterprise‑scale AI systems in regulated environments.

- Strong understanding of AI governance, risk management, data privacy, and model lifecycle management.

- Proven ability to partner with senior executives and influence across complex organizations.

- Strategic leadership mindset with a passion for responsible innovation and talent development.

**Special Factors**

**Sponsorship**

Vanguard is offering visa sponsorship for this position.

**About Vanguard**

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

**How We Work**

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Head of Innovation & Emerging Technology, Global Investment & Finance Systems

TekVizor is the bridge that connects top technology talent with the most cutting edge companies.  We utilize a Full Desk recruitment approach that allows us to engage our clients and candidates throughout the recruiting lifecycle, making for a seamless and successful experience. 

Areas of technology recruiting

Data Science & Analytics
•	Machine Learning "ML"
•	Advanced Analytics
•	Business Intelligence
•	Deep Learning
•	Artificial Intelligence "AI"
•	Computer Vision

Cloud Solutions & Infrastructure
•	Big Data
•	Cloud Architect 
•	Data Architecture
•	Data Engineering
•	Database Administration
•	Cyber Security

Product Management 
•	Technical Product Manager
•	Product Policy
•	Marketing Analytics
•	Digital Analytics
•	Program Management

Services
•	Retained search
•	Contingent recruiting
•	Advanced sourcing

Industry: Staffing and Recruiting
Company Size: 2-10 employees

TekVizor

**AI Engineer - Machine Learning **

📍 New York, NYC

🕒 Full-Time Employee position

🌍 U.S. Citizenship, Green Card

💰 $230,000 - $250,000 base salary range

**About the Role **

Hiring a Senior AI Engineer for an early-stage, high-growth AI FinTech company. We’re building an enterprise-grade platform and we need highly curious, hard-working self-starters.

This role is for senior-level builders who design, architect, and ship production-grade AI systems.

You will own the design and delivery of complex, multi-service AI architectures involving agent orchestration, secure workflows and real-world operational constraints.

**What You Will Do **

- Own the architecture, design, and implementation of full AI systems, including: Multi-Agent, distributed system architecture, workflow, agent orchestration, tool use, code execution, retrieval, KV cache management, routing, batching, multi-step planning loops.

- Proven experience designing and deploying complex agentic systems using LLMs.

- Hands-on design with multi-agent orchestration, routing, and tool orchestration.

- Your work goes far beyond prompts or app-level features. You will architect platforms and sustainable AI infrastructure.

- You will build real, production agents—not prototypes relying solely on framework abstractions.

- Design knowledge graph analytics enabling agents to perform contextual reasoning.

- End-to-End AI System Design.

**Desired Qualifications **

- 5+ years working professionally as a Machine Learning Engineer or Systems Engineer.

- 3+ years building and deploying Agentic, ML / LLM-powered systems in production environments.

- Degree in Computer Science or similar.

- Build APIs, microservices, and distributed workflows.

- Work across cloud environments (AWS, Azure, GCP)

- Ability to integrate data pipelines, messaging systems, and storage layers.

- You are as comfortable with backend architecture as with LLM integration.

#AIJobs # AIcareers #AgenticAI #LLMEngineering #AIEngineer #Hiring #MachineLearning #GenerativeAI #computerscience #TechJobs #NewYork #NYC

AI Engineer - Machine Learning ($230-250k base)

Unleashing the world's untapped human potential to accelerate AGI. Turing is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AI—transforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate. Learn more at turing.com.

Seasoned software developers, AI engineers, business and research specialists, and others can join us in the AGI era at turing.com/jobs

Industry: Technology, Information and Internet
Company Size: 501-1,000 employees

Turing

**About Turing: **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.

Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

**About the Role: **

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

**Responsibilities: **

- Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.

- Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.

- Provide detailed, well-structured justifications to support evaluation decisions.

- Follow established evaluation guidelines and quality standards consistently.

- Use browser-based tools and extensions to support analysis and review tasks.

- Execute simple command-line instructions when required to support evaluation workflows.

- Document findings clearly and communicate insights to stakeholders when needed.

**Requirements: **

- Solid comfort using a computer in a professional setting.

- Experience working with browser extensions and online tools.

- Ability to run basic command-line commands (no advanced programming required).

- Strong analytical and critical thinking skills.

- High attention to detail and ability to justify decisions clearly and objectively.

- Comfortable working with evaluation frameworks, comparisons, and structured analysis.

- Good written communication skills in English.

**Nice to Have: **

- Previous experience with evaluation, annotation, QA, or audit-type work.

- Familiarity with data quality, content evaluation, or model/output assessments.

- Background in business analysis, operations, or process improvement.

**Perks of Freelancing With Turing: **

- Competitive compensation based on experience and expertise.

- Flexible working hours and a fully remote environment.

- Opportunity to contribute to impactful research initiatives.

- Potential for contract extension based on performance and project needs.

**Offer Details: **

- Commitment Required: 30 hours per week minimum.

- Engagement Type: Contractor/Freelancer (no medical or paid leave).

- Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.

**Application Process: **

- Shortlisted candidates will be invited to complete an analytical challenge.

- Once the assessment is cleared, you’re ready to start contributing!

**After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. **

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Remote Business Analyst - 57510

**About Turing **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

**Role Overview **

Turing is looking for Accounting professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in financial reporting, audit, tax compliance, and accounting standards to evaluate and train AI systems. If you enjoy solving complex problems in accounting and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

**What Does Day-to-Day Look Like **

- Evaluate LLM models on accounting topics such as revenue recognition, lease accounting, consolidation, and tax provision calculations.

- Create rubrics to assess model capabilities on tasks like journal entry analysis, financial statement preparation, audit procedures, and GAAP/IFRS compliance.

- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

**Requirements **

- 2+ years of experience in Accounting (e.g., public accounting, corporate accounting, audit, tax, or financial reporting).

- Strong grasp of US GAAP or IFRS, financial statement preparation, audit methodologies, and regulatory compliance.

- Excellent English written communication.

**Bonuses (Not at All Necessary) **

- CA, CPA, ACCA, CMA, or MBA in Finance/Accounting.

**Perks of Freelancing with Turing **

- Work on the cutting edge of AI and finance.

- Fully remote and flexible work environment.

- Competitive hourly compensation of ~$100+/hour depending on experience.

**Offer Details **

- Commitment: Flexible, 10–30 hrs/week.

- Duration: ~1 month, with the possibility of extension based on performance and project needs.

**After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. **

**We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals. **

Remote Accounting Specialist ($100/hr) - 75409

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. 

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. 

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. 

In India, our offices are located in Chennai, Hyderabad and Bangalore.

Industry: Business Consulting and Services
Company Size: 1,001-5,000 employees

Tiger Analytics

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

**Requirements**

- 15+ years of Program Management experience

- Coordinating multiple projects and reconciling the interdependencies among them

- Providing strategic guidance to the company's project managers

- Monitor and adjust daily program activities as needed. Monitor key performance indicators for program and program progress

- Develop best practice, processes, and standards for effectively carrying out data migration activities, conceptual understanding of data engineering and cloud technologies

- Should have been in customer facing roles in managing large engagements

- Resolving cross-program issues and strategic issues with senior stakeholders

- Prepare reports for directors and stakeholders

- Implement strategies, oversee collaboration, and define success metrics

- Ability to Strategize and outline the goals and objectives of the program, find innovative ways to resolve problems

**Life Science Experience:**

- Should have good understanding of Pharma / Life Science domain and regulatory requirements

- Should have managed large Pharma/CRO/Med devices customers

**Benefits**

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Program Manager

Knowfinity, an EdTech enterprise, champions personalized learning solutions, incubating cutting-edge programs for upskilling and guaranteed career opportunities. Rooted in a commitment to quality, Knowfinity’s emphasis is on empowering learners in data science, AI, machine learning, software testing, data analystics and Python. The company stands out by delivering tech skills ready for the future, prioritizing accessibility and comfort in acquiring essential expertise in these high-demand fields.

🌟 Our Data Science Program Features:

1️⃣ Live Doubt Sessions for interactive learning.
2️⃣ 50+ hands-on projects for practical experience.
3️⃣ Internship guaranteeing job readiness.
4️⃣ Placement aid: 5+ guaranteed interviews, unlimited support till job secured.

Industry: Education
Company Size: 2-10 employees

KNOWFINITY

We are hiring a **Data Engineer ** on behalf of one of our prestigious **Fortune 500 Healthcare clients in the United States **. This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.

The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.

**Responsibilities**

- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.

- Build and optimize data workflows using modern cloud and big data technologies.

- Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.

- Develop data integration processes across multiple healthcare and enterprise systems.

- Ensure data quality, integrity, governance, and security standards are maintained.

- Monitor and troubleshoot data pipelines and production jobs.

- Support reporting, analytics, and business intelligence initiatives.

- Participate in performance tuning and optimization of databases and data processing systems.

**Qualifications**

- 2+ years of experience as a Data Engineer or in a related data-focused role.

- Strong experience with SQL and relational databases.

- Hands-on experience with Python, PySpark, or Scala.

- Experience working with ETL tools and data pipeline development.

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

- Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.

- Knowledge of data warehousing concepts and dimensional modeling.

- Strong analytical, problem-solving, and communication skills.

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

**Preferred**

- Healthcare domain experience preferred

- Exposure to HIPAA-compliant environments is an advantage

- Strong analytical and problem-solving skills

**What We Offer**

- Opportunity to work with a Fortune 500 Healthcare organization.

- Exposure to enterprise-scale cloud and data engineering projects.

- Collaborative and technology-driven work environment.

- Competitive compensation package.

- Long-term growth and career advancement opportunities.

**Work Authorization**

Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.

Skills: python,healthcare,data,gcp,aws,cloud,big data,sql,analytics,azure,data engineering,etl

Data Engineer

Since 1985, MetroPlusHealth has helped the people of New York City get quality health care at little to no cost. MetroPlusHealth is the plan of choice for over 712,000 New Yorkers, and its commercial and government-sponsored plans meet the needs of individuals, families, and workforces. The MetroPlusHealth staff speaks more than 40 languages and is as diverse as the great City it serves. MetroPlusHealth is part of NYC Health + Hospitals, the nation's largest public health system. For more information, visit metroplus.org. Join the conversation on social media at @metroplushealth.

Our Mission: We provide a caring, high-quality customer experience to preserve and improve the health and lives of New Yorkers with our integrated healthcare system.

Our Vision: To be the number one plan of choice for the communities we serve.

Our Core Values: Be caring and compassionate to all

Be customer-powered: Align daily actions to positive, impactful customer experiences; connect with internal and external customers

Be proud of what we do: Take ownership and accountability; be solutions driven

Act as a team: Build trust, empower others, and champion transparent communication

Thrive with change: Spark and support innovation, and transform our business through technology and data

Industry: Hospitals and Health Care
Company Size: 1,001-5,000 employees

MetroPlusHealth

The position of Data Engineer in Analytics and Reporting Department is responsible in managing data process design and development of ETL in SQL Server environment. This role also involves understanding business requirements and designing and developing regulatory and operational reports in a timely and consistent manner.

The Successful candidate must be self-motivated and technically strong individuals with minimum of five years of experience in SQL Server and other database development. The individual must be proficient in TSQL, SSIS development, familiar with application development life cycle. Strong project management and strong analytical skills are also required. Knowledge in healthcare membership, provider, claims data as well as familiarity with 834/837 EDI transaction is a plus.

**Scope Of Role & Responsibilities**

- Monitor, maintain, and enhance existing data processes.

- Collaborate with team members to create comprehensive documentation of workflows, data processing, and reporting logics.

- Support compliance and regulatory in providing support for reporting and auditing needs.

- Manage and prioritize concurrently projects in a timely and consistent manner.

- Develop SQL stored procedures, SSIS packages, and process module.

- Develop test cases to validate data processes, ETL workflows, and reporting logic.

**Required Education, Training & Professional Experience**

- Bachelor’s degree in Information Systems, Computer Science, Database Management, or related field.

- Minimum 5 years of programming experience in SQL Server database object development including but not limited to stored Procedures, functions, views.

- Minimum 5 years’ experience in complex healthcare data like Claims, Enrollment, Providers.

- Previous experience in business intelligence platforms, such as Tableau or Power BI

- Knowledge of .Net development, Python, Javascript, JSON, XML,

- Excellent analytical and problem-solving skills

- Ability to work effectively in a team environment and adapt to different projects and assignments quickly.

- Knowledge of EDI X12 Standards especially for transactions 837’s, 834, 277CA, 999 is a plus.

**Professional Competencies**

- Integrity and Trust

- Collaboration and Time management skills

- Functional/Technical skills

- Written/Oral Communication

- Ability to work effectively in a team environment and adapt to different projects and assignments quickly.

- Excellent analytical and problem-solving skills

#MPH50

Data Engineer (SQL, Programming, Healthcare)

Starr Insurance is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.

Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.

Starr has the global knowledge, vision and relationships to help your company succeed, anywhere you do business.

Industry: Insurance
Company Size: 1,001-5,000 employees

Starr Insurance

**Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.**

**Job Description: Senior Director, Data Architecture**

**Location: ** New York, NY

**Reports to: ** Head of Data Engineering & Chief Data Officer

**Department: ** Starr Technology Group

**Overview:**

The Senior Director, Data Architecture is a pivotal leadership role responsible for championing, building, and scaling a world-class Data Architecture practice in support of Starr’s global enterprise data vision. Reporting to the Chief Data Officer, the candidate will define and deliver modern, resilient, and secure data architectures that underpin all insurance systems, capabilities, and platforms. Leveraging deep domain experience in insurance (P&C and Specialty lines), data management, modeling, and analytics, the Senior Director will translate business and technical requirements into scalable data solutions that enable the organization’s innovation, regulatory compliance, and growth objectives.

Central to this role is the development and stewardship of data architectural best practices, reference architectures, and standardized frameworks that drive consistency, quality, and governance across all data assets—spanning domains from Customer, Policy, Claims, and Financials to the augmentation of external data. The Senior Director will work collaboratively with engineering, product, analytics, and delivery teams to translate requirements into solutions, providing architectural oversight and hands-on technical delivery for strategic initiatives, and maintaining a current/future state roadmap for all data capabilities.

This leader will drive adoption of modern data technologies, advanced data modeling, cloud architectures, and data governance principles, while building the discipline and maturity of Starr’s Data Architecture organization. This position is critical for supporting the scalable growth of business intelligence, analytics, and cross-enterprise data operations across the insurance portfolio.

**Responsibilities:**

**Data Architecture Vision, Strategy & Governance**

- Define and execute the data architecture vision and strategic roadmap in close alignment with the CDO and enterprise data strategy.

- Architect scalable, resilient, and secure solutions for enterprise-wide data integration, warehousing, analytics, operational systems, and augmentation with external data sources.

- Develop and champion standardized, insurance-centric data modeling frameworks, data architecture best practices, and reference architectures to ensure quality, consistency, and performance.

**Architectural Oversight & Solution Delivery**

- Drive architectural oversight for design, build, and operate phases of critical enterprise data initiatives—including new insurance products, data platforms, modernization, digital transformation, and regulatory projects.

- Translate functional and technical requirements into robust data architectures; guide engineering, analytics, product, and delivery teams throughout the data solution lifecycle.

- Perform hands-on technical delivery and problem solving for complex, strategic initiatives, ensuring successful execution against business, compliance, and technical requirements.

- Formalize current- and future-state architectural roadmaps that support unified, global, and consistent views of Customer, Policy, Claims, Financials, and other key insurance data domains.

**Insurance Data Domain Leadership**

- Develop and maintain standardized insurance data models, schemas, and pipelines; ensure applicability across the business for operational, analytical, and regulatory purposes.

- Integrate core insurance application data (e.g., Policy Administration, Claims, Reinsurance, Financials) with enterprise data platform and external third-party sources for holistic insights.

- Lead data architecture initiatives supporting evolving requirements of actuarial, underwriting, claims, compliance, finance, and product innovation teams.

**Adoption of Modern Data Technologies & Best Practices**

- Evaluate, select, and drive adoption of cutting-edge data technologies and architectural approaches (cloud-native, distributed, streaming, data lakehouse, real-time analytics).

- Accelerate enablement of cloud-based, medallion architecture (bronze/silver/gold), data pipeline automation, metadata management, and advanced analytics infrastructure.

- Promote strong data governance integration—including quality, cataloging, lineage, privacy, security, and compliance policies—across all data architecture outputs.

**Data Organization Leadership & Team Building**

- Build and mentor a high-performing Data Architecture function, including data architects, modelers, solution designers, and technical delivery leads.

- Foster cross-team collaboration with engineering, operations, analytics, and governance teams, ensuring seamless delivery of robust data solutions across the enterprise.

**Stakeholder Engagement & Change Leadership**

- Serve as chief architectural advisor and liaison to internal and external stakeholders - educating teams on data architecture capabilities and value.

- Ensure business requirements are accurately captured and reflected in scalable technical designs; drive business adoption and platform utilization.

**Continuous Improvement, Innovation, & Risk Management**

- Champion continuous improvement in architectural processes, tooling, methodology, and capability development.

- Lead architectural risk assessment, mitigation, and proactive controls to ensure technical, business, and compliance objectives are met.

- Track and report architectural health and progress using enterprise KPIs, quality metrics, and roadmap milestones.

**Technical Skills & Requirements:**

- Advanced hands-on expertise in designing and modeling enterprise data architectures (cloud-native, hybrid, lakehouse, distributed, real-time).

- Deep experience with data management, advanced data modeling (conceptual, logical, physical), insurance data schemas, and master data/reference data frameworks.

- Proven delivery across modern data technology stacks—Databricks, Snowflake, Spark, AWS/Azure/GCP data services, streaming/data integration platforms, metadata/cataloging tools.

- Expertise in Medallion architecture, batch/streaming pipeline design, external data augmentation.

- In-depth understanding of metadata management, data governance, lineage, cataloging, residency and security/privacy frameworks.

- Familiarity with insurance business models, core platforms (Guidewire, Duck Creek, Majesco), and regulatory/compliance-driven architecture requirements.

- Ability to assess legacy and modern architectures, and transition organizations toward future state aligned with business goals.

- Experience driving transformation of architecture standards and best practices across globally distributed teams.

**Required Qualifications:**

- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or related field; advanced degree highly preferred.

- 12+ years’ experience in data architecture, data modeling, and enterprise data management with 5+ years in senior leadership roles.

- Significant insurance industry experience, ideally within P&C and Specialty, with deep understanding of industry data requirements.

- Proven track record architecting, delivering, and governing complex data solutions for operational, analytical, and regulatory purposes in global organizations.

- Expertise building and formalizing insurance data models, frameworks, and best practices.

- Experience leading architectural teams, driving transformation and adoption of modern data architectures and governance.

- Excellent technical leadership, stakeholder management, communication, and problem-solving skills.

- Professional certifications in data architecture, cloud platforms (AWS, Azure, GCP), and insurance data management are highly desirable.

An estimated salary range for this role is $200,000-$275,000

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

Senior Director, Data Architecture

Launched in 2011 as ZenPayroll, Gusto serves more than 300,000 businesses nationwide. Each year we process tens of billions of dollars of payroll and provide employee benefits—like health insurance and 401(k) accounts—while helping companies create incredible work places.

Through one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.

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

Gusto

**About Gusto**

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

**Preferred Qualifications**

- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products

- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)

- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.

- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.

- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.

- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems

- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines

- Proven ability to optimize performance and cost across data workflows and storage systems

- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks

- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.

- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately **2-3 days **per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

Senior Data Engineer

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

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

Precision Technologies

**Job Title:a ** **Data Architect (Microsoft Fabric) **

**Experience: ** **12+ Years **

**Location: Remote **

**Employment Type: ** **Full-time **

**Job Description: **

We are seeking a highly skilled **Data Architect with Microsoft Fabric experience ** to join our growing data team. The ideal candidate will have extensive experience in data architecture, data engineering, and modern cloud-based data platforms, with a focus on designing scalable and efficient data solutions.

**Key Responsibilities: **

- Design, develop, and implement **data architecture solutions using Microsoft Fabric **

- Build and optimize **data pipelines, data lakes, and data warehouses **

- Collaborate with business stakeholders to understand data requirements and translate them into scalable solutions

- Define and enforce **data modeling standards, governance, and best practices **

- Work closely with data engineers, analysts, and BI teams to enable seamless data access and reporting

- Ensure data quality, integrity, security, and compliance across systems

- Optimize performance and scalability of data platforms

- Support migration of legacy systems to modern data platforms (Fabric / Azure ecosystem)

**Required Skills & Qualifications: **

- 12+ years of experience in **Data Architecture / Data Engineering **

- Hands-on experience with **Microsoft Fabric (mandatory) **

- Strong expertise in:

- Azure Data Services (Data Factory, Synapse, Data Lake)

- Data Modeling (Dimensional & Relational)

- ETL/ELT pipelines

- Proficiency in **SQL, Python, or similar programming languages **

- Experience with **Power BI or other visualization tools **

- Strong understanding of **data governance, security, and compliance **

- Excellent problem-solving and communication skills

**Preferred Qualifications: **

- Experience working in **enterprise-scale data environments **

- Exposure to **real-time data processing and analytics **

- Knowledge of **cloud architecture and distributed systems **

- Prior experience working with cross-functional and global teams

**Eligibility Criteria: **

- Candidates on **GC, USC, L2S, H4 EAD, TN, OPT EAD ** are encouraged to apply

- Must be open to **relocation across the USA ** or willing to work in **key states such as New Jersey, New York, etc. **

- **No C2C / consultancy profiles ** will be considered

**What We Offer: **

- Opportunity to work on cutting-edge **Microsoft Fabric and cloud data platforms **

- Collaborative and growth-oriented environment

- Competitive compensation and benefits

**For Faster approach shoot your resumes at karthik.n@precisiontechcorp.com . Feel free to refer profiles by sending it to the same email **

Data Architect (Microsoft Fabric)

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