Lead Decision Scientist

Weu2019re building a world of health around every individual u2014 shaping a more connected, convenient and compassionate health experience. At CVS Healthu00ae, youu2019ll 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 u2013 helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Our teams build next-generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers. The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data and analytics to become the leader in consumer healthcare in the U.S. As a Lead Decision Scientist u2013 Patient Insights Optimization , you will be tasked with understanding and quantifying the impact of clinical data on applications across CVS and Aetna. Your work will expose you to both the breadth and depth of uses of clinical data, and will inform strategic decisions about which investments in data CVS will make. You will: + Oversee multiple concurrent analytics projects in the field of healthcare and clinical data, ensuring a high standard of analytical rigor and execution. + Provide technical leadership to a team of data and decision scientists, including setting standards for code quality, code review, and testing, while still remaining deeply embedded in the analytical work itself. + Define a roadmap that delivers ongoing value to stakeholders while at the same time investing in maturing analytics engineering practices to scale the teamu2019s efforts. + Partner with product owners to design effective and creative analytical solutions to business needs, and with Engineering to efficiently productionize these solutions. + Use advanced statistics and mathematics judiciously where it solves critical business problems. + Communicate technical concepts to a range of audiences, including business leaders, using effective storytelling and data visualization where its helpful. + Uphold a high standard of documentation for both the teamu2019s impact and its analytical foundation. Required Qualifications + 7+ years of relevant analytics experience. + A track record of leading analytics projects from concept to delivery while coordinating across a diverse set of stakeholders. + Knowledge of engineering best practices for analytics, including version control, testing, and CI/CD. + Strong proficiency with SQL, including writing efficient, well-structured queries and developing maintainable analytical data pipelines. + Experience using at least one of the leading cloud platforms (GCP, AWS, Azure), and knowledge of best practices around data governance. + Proficiency with Python, including aspects like dependency management and testing, as well as standard DS libraries like NumPy, pandas, and polars. + Strong written and verbal communication skills, including the ability to present complex ideas to various audiences. Preferred Qualifications + Deep expertise in the healthcare domain and clinical data, including familiarity with FHIR and CCDA. + Experience advocating for and establishing engineering best practices in analytics teams. + Familiarity with Google Cloud Platform (GCP) tools, including BigQuery and Vertex AI. + Hands-on experience with tools for the creation and management of complex analytic projects such as dbt, Airflow, and Cloud Composer. + Training in advanced statistics, machine learning, and optimization. Education Requirements + Bacheloru2019s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. + Masteru2019s degree or Ph.D. preferred. Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 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. This position also includes an award target in the companyu2019s equity award program. 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 fullu2011time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellu2011being 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: 06/30/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran u2014 committed to diversity in the workplace.

Created: 2026-04-20