Note: The job is a remote job and is open to candidates in USA. CVS Health is hiring a Principal Data Scientist for its Consumer Analytics team. The role leads complex measurement, analytics, and AI enablement work, including campaign impact modeling, agentic automation, governance frameworks, and technical direction across marketing and data teams.

Responsibilities

• 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

Skills

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

Benefits

• Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
• An award target in the company’s equity award program.
• Eligible for a comprehensive benefits package, based on eligibility.
• Medical, dental, and vision coverage, based on eligibility.
• Paid time off, based on eligibility.
• Retirement savings options, based on eligibility.
• Wellness programs, based on eligibility.
• Other resources, based on eligibility.
• Work At Home

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