Top Senior Data Science Jobs

Lead end-to-end data science initiatives across pricing, dispatch, ETA, routing, and forecasting. Turn ambiguous logistics problems into production ML solutions, build data pipelines, partner with engineering to deploy models, establish evaluation and A/B testing, and work directly with customers and leadership to measure business impact.

As a Lead Data Scientist at Oliver Wyman, you will manage analytics projects, develop models, and engage with global clients to solve business challenges using advanced data science methodologies.

The Senior Data Scientist will manage and deliver analytics projects, engaging with clients to solve business problems using data science and machine learning techniques.

Analyze large-scale mobile user and app datasets to inform product and ML strategies, collaborate cross-functionally, build dashboards and processes, and present statistical analyses to improve platform performance.

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 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.