Principal Data Scientist

CVS Health•Work At Home-California, CA

19h•$144,200 - $288,400

About The Position

CVS Health is seeking a Principal Data Scientist for its Foundry team in Consumer Analytics. This individual-contributor technical expert will support measurement and AI enablement, partnering with Marketing, Product, Data Science, and Data Engineering leaders. The role drives hands-on technical excellence across data science and engineering, establishes standards and technical rigor, and leads complex analytical and engineering work. The Principal Data Scientist leads development and execution of complex algorithms, statistical and causal-inference models, and analytical approaches to assess campaign impact and inform decisions. The position also builds and deploys automation and agentic solutions for Aetna Marketing, advances governed and scalable agent orchestration, and supports the expansion and ongoing operation of the solutions portfolio. The role manages complex analytical projects, advises on campaign execution and organizational initiatives, mentors colleagues, and provides strategic direction for analytic solutions, tools, studies, and roadmaps. It addresses high-risk business problems and communicates complex technical solutions to internal and external peers and management. The position requires at least 10 years of progressively complex related experience, including measurement or applied AI/agentic solutions, and a bachelor’s degree or equivalent work experience in a relevant discipline. A master’s degree or PhD is preferred. The stated pay range is $144,200 to $288,400, with eligibility for a CVS Health bonus, commission or short-term incentive program and an equity award target. This full-time position offers medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, subject to eligibility. The anticipated application-window closing date is October 25, 2026.

Requirements

At least 10 years of progressively complex related experience, including measurement or applied AI/agentic solutions.
Expertise in advanced analytics tools and languages for analyzing large data sets from multiple data sources.
Expertise in innovating and implementing novel machine-learning and generative-AI techniques.
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.

Nice To Haves

Master’s degree or PhD.
Excellent analytical and problem-solving skills.
Strong organizational, management, and leadership skills.
Comprehensive knowledge of the health care industry, products, systems, and business strategies.
Experience measuring marketing or campaign effectiveness at scale.
Advanced, in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, causal inference, experimental design, and predictive modeling.
Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form, and to negotiate across the business and external health care environment.

Responsibilities

Lead development and execution of new or highly complex algorithms and statistical and causal-inference models for measurement; determine analytical approaches and modeling techniques to evaluate campaign impact and inform future decisions.
Establish analytical rigor and statistical methods for analyzing large data sets, using advanced statistical and mathematical techniques, including bias control and cross-campaign insight methods.
Build and deploy automation and agentic solutions for Aetna Marketing using standard enterprise tools, frameworks, and resources; move approved use cases from pilot to scaled launch.
Establish reusable frameworks for agent access, knowledge, risk management, measurement, and auditability, aligning agents with CVS AI governance policies and bringing existing agents into compliance.
Support enhancements and customizations that extend solutions to additional Marketing teams, and maintain agent reports, dashboards, repositories, templates, and playbooks.
Manage highly complex analytical projects from data exploration through model building, performance evaluation, and testing.
Apply in-depth knowledge of end-to-end campaign execution to consult and advise on additional organizational efforts.
Motivate team members, examine technical details, and mentor others to do the same.
Provide thought leadership and direction for analytic solutions, tools, studies, strategy, and roadmaps.
Anticipate and solve strategic, high-risk business problems with broad impact by applying leading-edge theories and techniques to investigate problems, detect patterns, and recommend solutions.
Share complex information and solutions with internal and external peers and management, and gain acceptance for new or enhanced technology and business solutions.