Senior Data Scientist - Risk Prediction Engine

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   Join our team of healthcare data scientists as we develop the next generation of risk prediction models. We're looking for data scientists to leverage their analytical & machine learning skills to help provide insights & model solutions to stakeholders across the CVS Health & Aetna organizations.   Our team routinely utilizes petabytes of data paired with extensive industry knowledge of actuarial partners to develop best-in-class machine learning models. We're looking to expand our team as we tackle more numerous & diverse use cases of the models we have been refining for nearly a decade now. You can help us overcome new challenges & build new solutions via the latest machine learning techniques. The team is looking for candidates with a passion for problem solving & quantitative analysis, strong algorithmic instincts, and the curiosity to learn new domains quickly and test ideas fast.   We are especially interested in candidates who embrace emerging technologies — including hands-on experience using AI tools to meaningfully increase their own productivity, and a working understanding of how large language models actually function — and who can thoughtfully incorporate AI into their data science processes to drive efficiency, insight, and innovation.   Overview: • 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 • Applies sound risk management judgment when developing and validating models that inform business-critical decisions • Quickly ramps up on unfamiliar domains and methods, forming hypotheses and testing them efficiently to separate promising approaches from dead ends • Extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure) • Hands-on experience leveraging large language models and AI/ML ecosystem tools to deliver impactful products, with genuine fluency in how these models work under the hood   Required Qualifications • Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline • 3+ years of professional experience in data analytics, BI, data engineering or applied data science • 3+ years of experience with SQL and Python/R   Preferred Qualifications • Master's or PhD degree in Mathematics, Statistics, Computer Science, Business Analytics, Econ