Senior Decision Scientist - Specialty Operations

About the role

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll partner with Specialty Operations leaders to solve complex business problems using data, analytics, and quantitative decision-making. This highly consultative role focuses on translating ambiguous business questions into analytical frameworks, generating actionable insights, and influencing strategic and operational decisions. The Senior Decision Scientist will serve as a trusted advisor to business stakeholders, combining strong statistical reasoning, business acumen, and structured problem-solving to identify opportunities for operational improvement. Rather than building production AI or machine learning systems, this role emphasizes rapid hypothesis generation, statistical analysis, experimentation, forecasting, and communicating clear recommendations that drive measurable business outcomes.

The ideal candidate is intellectually curious, thrives in ambiguous environments, and enjoys working directly with business leaders to solve high-impact operational challenges across CVS Specialty.

Responsibilities

• Solve complex business problems using statistical analysis and data-driven decision making.
• Structure ambiguous problems into actionable analytical approaches.
• Conduct statistical analyses such as hypothesis testing, regression, forecasting, segmentation, and experimental design.
• Synthesize large datasets into concise, actionable insights for business and executive audiences.
• Communicate findings and recommendations effectively to influence cross-functional stakeholders.
• Partner directly with business leaders to prioritize opportunities and develop data-informed recommendations.
• Manage multiple initiatives in a fast-paced, highly collaborative environment.

Requirements

• 3+ years of experience in analytics, decision science, management consulting, business analytics, data science, operations research, or a related quantitative field.
• Demonstrated experience solving complex business problems using statistical analysis and data-driven decision making.
• Strong analytical and critical thinking skills.
• Proficiency in SQL and experience using Python or R for data analysis and statistical modeling.
• Ability to synthesize large datasets into actionable insights.
• Strong communication, storytelling, and presentation skills.

Preferred Qualifications

• Experience in management consulting or internal strategy and analytics organizations.
• Experience supporting healthcare, pharmacy, specialty pharmacy, payer, or healthcare operations.
• Knowledge of operational performance metrics, process optimization, workforce analytics, or service operations.
• Experience designing and evaluating business experiments (A/B testing, pilot evaluations, quasi-experimental analyses).
• Familiarity with predictive modeling techniques and machine learning concepts.
• Experience developing executive presentations and facilitating discussions with senior leadership.
• Experience with data visualization tools such as Tableau or Power BI.
• Exposure to AI-enabled decision support tools, generative AI, or intelligent analytics platforms.

Qualifications

• Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Engineering, Computer Science, Business Analytics, or a related quantitative field required.
• Master's degree in a quantitative discipline or MBA preferred.

Schedule

• Anticipated weekly hours: 40
• Time type: Full time

Pay

The typical pay range for this role is $111,240.00 - $222,480.00. This pay range represents the base annual full-time salary. The actual base salary offer will depend on a variety of factors including experience, education, geography, and other relevant factors. This position is also eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range.

Benefits

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, including:

• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources.

Additional details about available benefits are provided during the application process and on Benefits Moments.