Top Data Science Jobs

Transform analytical models into interactive GEOINT visualizations and analyst-facing interfaces, streamline production workflows, identify trends and insights, and operationalize geospatial data using Python, SQL, GIS tools, version control, and dashboarding frameworks to support mission-critical NGA/USSOCOM operations.

The Principal Data Scientist - Oncology will lead efforts in standardizing and connecting biomedical and clinical data through the development of scalable knowledge graph infrastructure and AI-Ready datasets.

Lead a team of Data Scientists and Data Engineers to create data assets, reports, and insights, influencing Epic's product strategies.

Lead a team of Data Scientists and Programmers to create data assets, insights, and reports impacting product decisions in gaming.

Own statistical methodology for mission engineering: design experiments for large-scale simulations, apply Bayesian and regression methods, build scalable Python data pipelines and surrogate models, quantify uncertainty and sensitivity, produce decision-quality visualizations and reports, mentor teams, and support DoD/DARPA/intelligence programs.

Lead development and deployment of analytical models, metrics, and tools for Hockey Operations. Produce visualizations and reports, communicate insights to coaches and decision-makers, mentor junior analysts, collaborate to deliver production-ready data products, and advance the organizations hockey analytics capabilities.

Lead and execute complex analyses of large-scale health care claims, build data pipelines and analytic infrastructure, ensure data quality and reproducibility, manage projects and timelines, mentor junior staff, and translate results into policy-relevant insights.

The Senior Data Scientist will develop and deploy machine learning models for yield optimization, pricing, and inventory allocation in programmatic advertising. Responsibilities include building data pipelines, real-time inference systems, conducting experiments, and collaborating with product and engineering teams to enhance marketplace performance.

The Senior Data Scientist will design and deploy ML models for yield optimization and inventory allocation in programmatic advertising, build data pipelines, and monitor performance for effective marketplace balance.

Senior individual-contributor owning product and growth analytics: define and measure funnel metrics (signup, activation, conversion, retention), design and analyze experiments, build predictive models (activation, churn, LTV), clean and warehouse product/billing events, create dashboards and writeups, and partner with growth, product, and founders to find and size high-leverage opportunities.

The Data Scientist will design and develop advanced analytics applications, employing machine learning and statistical techniques to interpret complex datasets and improve operational effectiveness.

The Data Scientist SME will develop and scale GEOINT AI/ML pipelines, design ML models for geospatial datasets, mentor teams, and operationalize analytics in a cloud environment.