Senior Data Scientist - Payment Accuracy

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 It’s a new day in healthcare! Looking for opportunities to use cutting edge technologies analyzing petabytes of data on Google Cloud Platform? Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey? CVS delivers strategically impactful programs and tools that expand convenient access to high-quality and affordable care for all members across multiple channels across all stages of life. At CVS, we’re pioneering a total approach to health and wellness. As a Sr Data Scientist on the Payment Optimization Analytics team, you’ll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, develop new provider offerings, and enhance consumer experience. You will be part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in data science, machine & deep learning, and predictive modeling techniques. You will derive meaning from data and deploy robust solutions through provider-directed engagement channels (e.g., digital) that helps consumers identify affordable care, when they need it, and with whom. FUNDAMENTAL COMPONENTS Leads and participates in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solves complex analytical problems. Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry. Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics. Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization. Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Use strong programming skills to explore, examine and interpret large volumes of data in various forms. Required Qualifications 5 or more years of progressively complex related experience Experience in SQL (BigQuery, complex CTEs, window functions), Python (pandas, NumPy, scikit-learn), machine learning (model development, feature engineering, evaluation), and AI/LLM integration (prompt engineering, RAG, agent frameworks) for end-to-end data science workflows. Demonstrates strong ability to communicate technical concepts and implications to business partners. Anticipates and prevents problems and roadblocks before they occur. Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources. Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas. Preferred Qualifications Healthcare industry work experience is preferred Education Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $111,240.00 - $222,480.00 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. 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. 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: 08/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.