Senior Principal Data Scientist

Role Description

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.

• Defines and drives enterprise-scale analytical vision, leading the invention, validation, and institutionalization of novel, highly complex algorithms, statistical models, and advanced machine learning approaches that address the organization’s most ambiguous and high-impact business problems.
• Sets the highest standard for analytical rigor across the enterprise, establishing advanced statistical frameworks, modeling paradigms, and methodological best practices that govern how complex, multi-source data is interpreted, stressed, and translated into decision-grade insights.
• Owns the conception and orchestration of the most complex analytical initiatives, spanning exploratory research, feature engineering, model architecture design, large-scale experimentation, validation, performance monitoring, and long-term sustainability of solutions.
• Serves as the organization’s top-tier authority across systems, products, and data ecosystems, proactively advising senior leaders and cross-functional partners on where advanced analytics should be applied to unlock enterprise value, mitigate systemic risk, or enable new strategic capabilities.
• Shapes and advances enterprise analytic talent and capability, mentoring other senior and principal-level scientists, pressure-testing technical approaches, and cultivating deep technical judgment across the analytics community.
• Provides recognized thought leadership by defining long-term analytic solution strategies, influencing platform evolution, and advancing the organization’s use of emerging techniques, toolsets, and theoretical advances well ahead of industry norms.
• Anticipates and resolves the most complex, high-risk, and strategically sensitive business challenges, applying leading-edge theories and advanced quantitative techniques to identify non-obvious patterns, test assumptions, and recommend solutions with enterprise-wide impact.
• Architects and governs the enterprise analytics strategy and roadmap, ensuring alignment between business strategy, product direction, data assets, and advanced analytical capabilities across multiple domains.
• Influences at the executive and external-peer level, communicating highly complex analytical concepts, trade-offs, and recommendations with clarity and authority to gain alignment, shape strategic decisions, and secure adoption of new or disruptive analytic approaches.

Qualifications

• 12+ years of progressively advanced experience in data science, advanced analytics, or applied research roles demonstrating sustained impact at enterprise scale.
• Demonstrated mastery of advanced analytics languages, platforms, and architectures, with a proven ability to design and operationalize solutions across highly complex, heterogeneous data environments.
• Recognized expertise in inventing, adapting, and deploying novel machine learning and statistical techniques, particularly in settings characterized by scale, ambiguity, and strategic risk.

Requirements

• 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.
• Demonstrates advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling.
• Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form.
• Superior skills to effectively communicate and negotiate across business and in the external health care environment.

Education

• 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.

Pay Range

The typical pay range for this role is: $175,100.00 - $334,750.00. 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 company’s equity award program.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.

We anticipate the application window for this opening will close on: 05/31/2026. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.