Senior Data Scientist - AI - Specialty Operations

• Independently solves complex, ambiguous business problems and brings new perspectives to existing solutions across operational, financial, and clinical domains.
• Structures and leads advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization, forecasting, and emerging AI applications) to address high-impact business challenges.
• Partners closely with business stakeholders to understand objectives, constraints, and success metrics; translates these into scalable analytical solutions and actionable recommendations.
• Acts as an analytics product owner by defining problem statements, shaping solution approaches, prioritizing workstreams, and driving measurable business outcomes.
• Leads development of moderately complex solutions with meaningful business risk and visibility, ensuring rigor, explainability, and operational scalability.
• Develops and delivers executive-ready presentations that clearly communicate technical findings, trade-offs, and recommendations to senior leadership and client-facing teams.
• Applies strong knowledge of statistical methods, machine learning algorithms, and AI techniques to detect patterns, assess risk, and generate business insights.
• Uses advanced programming skills to explore, transform, and analyze large and complex datasets from multiple internal and external sources.
• Demonstrates strong consulting skills, including proactive problem identification, stakeholder alignment, and the ability to influence decision-making in cross-functional environments.

• 3+ years of analytics experience independently driving end-to-end analyses and initiatives with demonstrated business impact.
• 3+ years of data science experience, preferably in consulting or highly cross-functional environments.
• Experience in SQL and data visualization tools (e.g., Tableau or similar BI platforms).
• Experience programming in Python and/or R for data analysis, modeling, and solution development.
• Proven ability to communicate complex technical concepts clearly to non-technical audiences.
• Demonstrated ability to manage multiple priorities and deliver high-quality work in fast-paced, evolving environments., * Strong knowledge of advanced analytics and AI techniques, including predictive modeling, machine learning, forecasting, optimization, and experimentation methodologies.
• Experience working with large, multi-source datasets in healthcare, pharmacy, or other regulated industries.
• Experience designing scalable analytical solutions that move from prototype to production.
• Anticipates risks, identifies roadblocks early, and proactively proposes mitigation strategies.
• Demonstrates executive presence and the ability to influence senior stakeholders and client-facing teams.
• Demonstrates depth in one or more specialized areas (e.g., forecasting, causal inference, NLP, AI applications, risk modeling) while maintaining broad applied data science capability.

Education

• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, ComputerScience, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree or PhD preferred

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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.