Principal Data Scientist

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.

We are looking for a Principal Data Scientist to join our Foundry team in Consumer Analytics at CVS Health. As a data science technical expert for measurement and AI enablement in Foundry, this individual contributor will partner closely with Marketing, Product, Data Science, and Data Engineering  leaders to drive hands-on technical excellence across an organization of data scientists and engineers. This individual will build a culture of technical rigor, define key standards, and take on the most complex analytical and engineering work. 

• Leads development and execution of new and/or highly complex algorithms and statistical and causal inference models for measurement and determines analytical approaches and modeling techniques to evaluate campaign impact and inform future decisions
• Establishes analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses, including bias control and cross-campaign insight methods
• Build and deploy automation and agentic solutions for Aetna Marketing: Develop agents and workflows using standard enterprise tools, frameworks and resources, and move approved use cases from pilot through scaled launch.
• Enable governed, scalable agent orchestration: Establish reusable frameworks for access, knowledge and risk management, along with measurement and auditability, so every agent aligns with CVS AI governance policies, including bringing existing agents into compliance.
• Expand and sustain the portfolio: Support enhancements and customizations needed to extend solutions to additional Marketing teams, and maintain the agent reports/dashboards, repositories, templates and playbooks that keep the program running.
• Manages highly complex analytical projects from data exploration, model building, performance evaluation and testing
• Applies in-depth knowledge of campaign end to end execution to consult and advise on additional efforts across the organization
• Motivates team members and probes into technical details, and mentors others to do the same
• Provides thought leadership and direction for analytic solutions, tools and studies, strategy and roadmap
• Anticipates and solves strategic and high-risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions
• Interacts with internal and external peers and management to share highly complex information/solutions related to areas of expertise and/or to gain acceptance of new or enhanced technology/ business solutions

• 10 or more years of progressively complex related experience, including measurement or applied AI/agentic solutions
• Expertise in advanced analytics tools and languages to analyze large data sets from multiple data sources
• Expertise in innovating, implementing novel machine learning, and generative AI techniques

• Excellent analytical and problem-solving skills
• Strong organizational, management and leadership skills
• Comprehensive knowledge of the health care industry, products, systems, business strategies and products
• Experience measuring marketing or campaign effectiveness at scale
• Demonstrates 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 the external health care environment

Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer      Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

Master’s degree or PhD preferred

The typical pay range for this role is: