Senior Data Scientist

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.

Working on developing AI-powered tools and analytics for our Call Centers.

• Implements systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
• Assists in the deployment of data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions.
• Designs complex data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data.
• Applies in-depth data science and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making.
• Develops analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance.
• Communicates with internal and external stakeholders, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions.
• Coordinates the delivery of presentations and consultative services to existing and prospective constituents that outline data analytics results and solutions.
• Works to develop professional knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages.
• Ensures departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices.

Education Bachelor's degree preferred/specialized training/relevant professional qualification.

Prior Relevant Work Experience 3-5 years

Essential Qualifications Working knowledge of problem solving and decision making skills

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

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: 08/18/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.