Data Scientist - PBM Pricing Optimization and Advanced Analytics

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