Position SummaryWe'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
EducationBachelor'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 Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$79,310.00 - $158,620.00
This 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.
Great benefits for great peopleWe 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 for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/30/2026
