Lead Data Scientist - AI

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
• Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms

Required Qualifications

• 5+ years of relevant analytic experience
• Experience programming using Python
• Experience in 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

Education

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

Pay Range

The typical pay range for this role is:

$142,140.00 - $284,280.00

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. This position also includes an award target in the company's equity award program.

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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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We anticipate the application window for this opening will close on: 05/25/2025

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