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.
CVS Health is seeking a Senior Decision Scientist to partner with Specialty Operations leaders to solve complex business problems using data, analytics, and quantitative decision-making. This is a highly consultative role focused 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.
Required Qualifications
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 with the ability to structure ambiguous problems into actionable analytical approaches
Experience conducting statistical analyses such as hypothesis testing, regression, forecasting, segmentation, and experimental design
Proficiency in SQL and experience using Python or R for data analysis and statistical modeling
Ability to synthesize large datasets into concise, actionable insights for business and executive audiences
Strong communication, storytelling, and presentation skills with experience influencing cross-functional stakeholders
Experience partnering directly with business leaders to prioritize opportunities and develop data-informed recommendations
Ability to manage multiple initiatives in a fast-paced, highly collaborative environment
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, with the ability to determine when these methods are appropriate for business problems
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 is a plus, but not required
Education
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
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$111,240.00 - $222,480.00This 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 3+ years experience in analytics, decision science, management consulting, business analytics, data science, operations research, or related quantitative field
- Demonstrated experience solving complex business problems using statistical analysis and data-driven decision making
- Strong analytical and critical thinking skills with ability to structure ambiguous problems into actionable approaches
- Experience conducting statistical analyses such as hypothesis testing, regression, forecasting, segmentation, and experimental design
- Proficiency in SQL and experience using Python or R for data analysis and statistical modeling
- Ability to synthesize large datasets into concise, actionable insights for business and executive audiences
- Strong communication, storytelling, and presentation skills with experience influencing cross-functional stakeholders
- Experience partnering directly with business leaders to prioritize opportunities and develop data-informed recommendations
- Ability to manage multiple initiatives in a fast-paced, highly collaborative environment
- Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Engineering, Computer Science, Business Analytics, or related quantitative field
- 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 or generative AI
- Master's degree in a quantitative discipline or MBA
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
