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 Decision Scientist to build and extend the models, pricing logic, and financial simulations that support Caremark's sales and underwriting decisions. This is a hands-on, build-oriented role — most of your time will be spent writing Python and SQL that ships into production tools real underwriters and pricing leaders use.
What You'll Do
You'll develop predictive models, risk and profitability logic, and scenario/forecast frameworks that translate claims, contract terms, and market signals into the numbers our deal teams act on. You'll partner with underwriters, pricing actuaries, and finance to translate business questions into testable code — pricing calculators, P&L tools, recurring forecasts, and the rule engines underneath them. Expect to balance a long-running model build, a quick-turn analysis for a sales leader, and a recurring reporting cycle in the same week.
What You'll Bring
- 3+ years of hands-on experience delivering data science or advanced analytics in a regulated, numbers-heavy environment (healthcare, PBM, insurance, banking, or similar)
- Production-quality Python (or R) — not throwaway notebooks — and advanced SQL across complex, multi-source datasets
- Solid statistical fundamentals: regression, classification, clustering, time-series forecasting, hypothesis testing
- Working knowledge of cloud data platforms (GCP, Azure, AWS, or Databricks/Snowflake) and PySpark or equivalent for large-scale data work
- Comfort with financial concepts (margin, loss ratio, premium, retention) — or proven ability to pick them up fast
- Low-maintenance, high-output: takes context and runs, flags own mistakes early, frames every analysis around the decision it supports
Preferred Qualifications
- Experience building pricing models, risk scoring tools, portfolio optimization logic, or financial simulation frameworks
- Familiarity with pharmacy claims data, PBM economics, or actuarial concepts
- Streamlit, Dash, or similar Python application frameworks
- Experience deploying models or analytical tools into production environments
Education
Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering, Actuarial Science, or similar) required. Master's degree preferred.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$64,890.00 - $158,620.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 3+ years of hands-on experience delivering data science or advanced analytics in regulated environments
- Production-quality Python (or R) and advanced SQL skills
- Solid statistical fundamentals including regression and time-series forecasting
- Working knowledge of cloud data platforms and PySpark for large-scale data work
- Bachelor's degree in a quantitative field such as Statistics or Computer Science
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive for benefits-eligible colleagues, including medical, dental, and vision with free preventive care and access to virtual care and select no-cost MinuteClinic services. Mental health support is also highlighted with no-cost confidential counseling sessions per issue.
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Retirement Support — Retirement benefits include a 401(k) with a dollar-for-dollar match up to 5% after meeting service and hours requirements. Ownership programs are also offered through an employee stock purchase plan with a stated purchase discount.
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Pay Growth & Progression — A companywide minimum wage floor establishes a baseline that is framed as a positive starting point in some roles and markets. Unionized or high-cost areas are described as having clearer wage scales and step-ups that can materially lift pay over time.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
