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 looking for a Data Scientist to join our drug pricing optimization team supporting a major reseller health plan client. This is a strong opportunity for a data scientist who brings technical depth, practical problem-solving, and curiosity, and who wants to grow in a squad-based environment with real business impact.
In this role, you would help the team solve complex pricing and optimization problems, contribute to data science workflows used in production-oriented settings, and partner with technical and business stakeholders to turn analytical work into clear decisions. Over time, this role offers room to grow into broader squad leadership responsibilities through strong ownership, follow-through, and communication.
What you’ll do:
- Contribute to the design, development, and improvement of data science and optimization solutions for drug pricing
- Analyze complex datasets to identify patterns, issues, and opportunities that improve pricing performance and decision quality
- Build, test, debug, and maintain code in Python and SQL to support analytics, modeling, and operational workflows
- Breaking down messy business and technical problems into actionable analyses and practical next steps
- Work within cloud-based and production-oriented environments, including GCP and team development tools such as VS Code
- Support optimization workflows and collaborate on linear programming algorithms using Gurobi
- Use AI tools thoughtfully to accelerate coding, analysis, and iteration while applying strong judgment to validate quality and accuracy
- Partner with cross-functional stakeholders to explain technical tradeoffs clearly in business terms, including implications for speed, risk, scalability, and outcomes
- Operate as a strong squad member with the potential to take on squad captain responsibilities over time through ownership, initiative, and collaboration
Required Qualifications
- Bachelor’s or Master's Degree with a minimum of 1 year of experience in Data Science, Computer Science, Applied Math, Operations Research, Statistics or related field, and:
- Strong analytical and problem-solving skills, with the ability to break down ambiguous business and technical problems into actionable parts
- Strong coding fundamentals in Python and SQL, including debugging, data wrangling, code quality, and reproducible workflows
- Comfort working in VS Code and collaborative development environments
- Familiarity with optimization modeling, constraints, and algorithmic thinking; experience with Gurobi is a plus
- Working knowledge of cloud-based data science workflows, especially GCP, is strongly preferred
- Comfort using AI tools productively and responsibly as part of day-to-day technical work
- 2 or more years of experience in Python or other modeling environments
- 2 or more years of experience with SQL
- Experience in deploying ML models to production and developing CI/CD pipelines
- Experience using Google Cloud Platform, Vertex AI or similar is a MUST
- Demonstrated proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
Preferred Qualifications
- Experience working on pricing, optimization, or healthcare analytics problems
- Familiarity with PBM and drug pricing concepts, including the business nuances and operational realities of reseller health plan clients
- Exposure to productionizing models or working in cross-functional products, engineering, or analytics squads
- Familiarity with version control, testing practices, and collaborative coding workflows
- Strong communication skills, especially the ability to explain technical concepts and tradeoffs in a clear, practical, non-academic way
- Ownership mindset, willingness to do the work, and the judgment to balance innovation with execution
- Demonstrated curiosity, learning agility, and potential to grow into broader coordination or squad leadership responsibilities
- Ability to learn quickly and work independently or as part of a team
- Ability to anticipate and prevent problems and roadblocks before they occur
Education
Bachelor's degree or equivalent work experience in Applied Mathematics, Statistics, Data Science, Operations Research, Computer Science, Computer Engineering, or related discipline. Master's degree preferred
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$79,310.00 - $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
- Bachelor's or master's degree, or equivalent experience, in Data Science, Computer Science, Applied Mathematics, Operations Research, Statistics, Computer Engineering, or a related field
- At least 1 year of experience in Data Science, Computer Science, Applied Mathematics, Operations Research, Statistics, or a related field
- At least 2 years of experience with Python or other modeling environments
- At least 2 years of experience with SQL
- Strong coding fundamentals in Python and SQL, including debugging, data wrangling, code quality, and reproducible workflows
- Experience deploying machine learning models to production and developing CI/CD pipelines
- Experience using Google Cloud Platform, Vertex AI, or similar cloud-based data science platforms
- Proficiency in mathematical analysis, machine learning, statistical analysis, and predictive modeling, with in-depth specialization in selected areas
- Ability to analyze ambiguous business and technical problems and convert them into actionable analyses
- Familiarity with optimization modeling, constraints, and algorithmic thinking
- Comfort working in VS Code and collaborative development environments
- Comfort using AI tools productively and responsibly in technical work
- Master's degree
- Experience with Gurobi
- Experience with pricing, optimization, or healthcare analytics
- Familiarity with PBM and drug pricing concepts
- Experience productionizing models or working in cross-functional engineering, product, or analytics squads
- Familiarity with version control, testing practices, and collaborative coding workflows
- Strong communication skills for explaining technical concepts and tradeoffs
- Ability to work independently and collaboratively, learn quickly, anticipate problems, and take ownership
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 — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
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.
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