Principal Data Scientist

Consumer Analytics: Principal Data Scientist 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. Description/Fundamental Components:

• 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

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