Senior Data Scientist, Products
Listed on 2026-06-03
-
IT/Tech
Data Science Manager, Data Analyst
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. Work streams span pricing and risk modeling, portfolio and strategy analytics, and the reporting and insight products our business runs on.
What You’ll DoYou’ll 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). You’ll 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.
What You’ll Bring- 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 work streams, mentoring peers, and partnering with senior stakeholders (Lead Director and above)
- 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, Sage Maker, or similar)
Bachelor’s degree in a quantitative field required. Master’s or PhD in Statistics, Computer Science, Economics, Operations Research, or related field strongly preferred.
Anticipated Weekly Hours40
Time TypeFull time
Pay Range$83,430.00 – $
BenefitsWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Finaldate to receive applications
The application window for this opening will close on: 06/05/2026
EEO StatementQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).