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
Within the data science department (“Analytics & Behavior Change”), you’ll have the opportunity to drive the next level of PBM (Pharmacy Benefit Manager) member experience and service quality at a leading national healthcare brand.
We’re looking for motivated data professionals to drive efficiency and growth in Caremark's PBM business, using advanced analytics, predictive modeling, statistics, and generative AI. We expect the candidate to leverage business acumen and good data storytelling to help Caremark improve member well-being and its product and services. PBM Analytics is one of the key teams within the Analytics & Behavior Change department and partners with the PBM leadership to drive innovation and develop cutting edge solutions.
This is a hands-on data scientist role, with a combination of business / stakeholder consulting and data analysis/science. You will work with a squad of 10+ data scientists and engineers to manage the whole lifecycle from ideation to deployment and monitoring.
- Partner closely with clinical and operational experts to unpack complex operational processes, identify bottlenecks, and translate requirements into technical solutions.
- Design, build, and validate data science solutions—ranging from Generative AI pipelines and predictive models to rules-based logic.
- Manage end-to-end delivery from initial data extraction and modeling to production deployment and lifecycle monitoring (e.g., testing, performance dashboards, alert thresholds).
- Extract, curate, and analyze large-scale operational data using SQL and Python.
- Translate complex modeling outputs into clear, business-driven narratives and presentations for clinical and business leadership.
Required Qualifications
- 1+ years of professional experience writing production-grade code in Python and querying complex datasets using SQL.
- 1+ years of professional experience building, validating, and deploying machine learning models, statistical models, algorithmic solutions, or LLM-based solutions.
- Experience using Git/GitHub for version control and collaborative code development.
- Experience delivering presentations, reports, or business reviews to cross-functional stakeholders.
Preferred Qualifications
- Initiative: Proven ability to independently investigate ambiguous problems, interview process owners, and structure solutions rather than waiting for defined specifications.
- Stakeholder Communication: Ability to translate complex data science concepts into clear business risks and opportunities for non-technical partners.
- ML Model & Generative AI: Practical experience building ML solutions or LLM-based solutions (e.g., prompt design, RAG architectures, model evaluation frameworks).
- Production Monitoring: Experience establishing model performance guardrails, such as drift detection, production monitoring, and alerting systems.
- Domain Experience: Familiarity with healthcare data (e.g., pharmacy claims, clinical workflows, or unstructured clinical notes).
- Cloud & Tools: Familiarity with Google Cloud Platform (GCP) or similar enterprise cloud environments, as well as AI-assisted software development tools.
Education
- Bachelor's degree or equivalent work experience in Computer Science, Statistics, Mathematics, Analytics, Engineering, or a related quantitative field.
- Master's degree in a quantitative field or MBA strongly preferred.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$79,310.00 - $173,040.00This 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
- 1+ years of professional experience writing production-grade Python code
- 1+ years of professional experience querying complex datasets using SQL
- 1+ years of professional experience building, validating, and deploying machine learning models, statistical models, algorithmic solutions, or LLM-based solutions
- Experience using Git and GitHub for version control and collaborative code development
- Experience delivering presentations, reports, or business reviews to cross-functional stakeholders
- Bachelor's degree or equivalent work experience in Computer Science, Statistics, Mathematics, Analytics, Engineering, or a related quantitative field
- Master's degree in a quantitative field or MBA
- Experience building ML or LLM-based solutions, including prompt design, RAG architectures, or model evaluation frameworks
- Experience with production monitoring, drift detection, guardrails, or alerting systems
- Familiarity with healthcare data, such as pharmacy claims, clinical workflows, or unstructured clinical notes
- Familiarity with Google Cloud Platform or similar enterprise cloud environments
- Familiarity with AI-assisted software development tools
- Ability to independently investigate ambiguous problems and structure solutions
- Ability to translate complex data science concepts into clear business risks and opportunities
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
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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.
