Senior Data Scientist, Products

CVS Health•New York, NY

5d•$83,430 - $203,940

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We're hiring a Senior Data Scientist to lead a workstream within Caremark's sales and underwriting analytics portfolio — owning end-to-end delivery as a senior individual contributor, setting technical direction, and mentoring peers. Workstreams span pricing and risk modeling, portfolio and strategy analytics, and the reporting and insight products our business runs on.

Requirements

5+ years of data science experience, with at least 2 years in financial services, insurance, healthcare, or PBM
Track record of analytical work that changed business decisions — not just answered questions
Production-grade Python and advanced SQL; proficiency with PySpark, Databricks, Snowflake, distributed computing or equivalent.
Strong fundamentals across regression, classification, clustering, time-series forecasting, and experiment design — with the judgment to pick the right tool for each problem
Familiarity with the ML model lifecycle: training, validation, deployment, monitoring, and drift detection
Ability to explain a model's assumptions and limits to a non-technical executive in three sentences
Experience leading workstreams, mentoring peers, and partnering with senior stakeholders (Lead Director and above)

Nice To Haves

Experience as a technical lead or squad lead on an analytics team
Familiarity with PBM, payer, or insurance metrics (loss ratios, retention, conversion, premium volume, MLR)
Experience shipping analytical products in Streamlit, distributed computing.
Exposure to MLOps tooling (MLflow, Vertex AI, SageMaker, or similar)

Responsibilities

Own multiple concurrent projects across model development, strategic analysis, and analytics product delivery — framing the business question, designing the approach, building the solution, and presenting findings to senior stakeholders (Lead Director, Executive Director, AVP).
Set technical direction for your workstream, mentor junior data scientists, and partner directly with business leaders across sales, underwriting, and finance to turn analysis into action.