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.

The Retail Pharmacy Operations Analytics team is looking for a Senior Decision Scientist to support RX and immunization growth initiatives.

• Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership.
• Drive self-service capabilities with the business, train business teams on new technical capabilities and how to consume the data effectively, prove out new tools/capabilities quickly through POCs and provide readouts to the management teams.
• Build relationships across the enterprise, working with analytics and data teams for insights and best practice sharing.
• Partner with functional and business stakeholders to understand strategic business analytics requirements
• Provide guidance in driving solutions while delivering successful end results
• Develop strategies aimed to improve business reporting and planning processes utilizing continuous improvement.
• Use data visualization techniques to effectively communicate analytical results and support business decisions
• Work with a sense of urgency, possess strong critical thinking and analytical skills, and have passion for developing high-performing analytics solutions

Required Qualifications :

• 3+ years of relevant analytic experience
• Experience programming using R or Python
• Experience in SAS or SQL

Preferred Qualifications :

• Demonstrates strong ability to communicate technical concepts and implications to business partners.
• Anticipates and prevents problems and roadblocks before they occur.
• Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
• Hands-on experience with cloud computing (Google Cloud, AWS, etc.) and tools/processes for version control (i.e. git, GitHub) preferred.
• Experience with data visualization tools (Tableau, Plotly, etc).

Education :

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

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,480.00

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.

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.

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

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.