Data Scientist

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.

• Please note - Location and start date will vary
• Who we are
  
  We are Americas leading health solutions company (Fortune #4), delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
  
  Analytics & Behavior Change is an innovation engine supporting the entire CVS Health organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. We partner with business leaders throughout the organization using advanced analytics tools, modeling, and machine learning to generate insights by using data to create meaningful impact. We're focused on creating new opportunities that drive change across the enterprise in areas such as:
  
  Customer experience and behavior change
  
  Clinical trial recruitment and engagement
  
  Digital health
  
  Provider efficiency and effectiveness
  
  Patient safety
  
  Health care cost savings
  
  Clinical services/care management
  
  Fraud, waste, and abuse detection/prevention
  
  We are inspired to make a difference through data by making health care human-centered and connecting people to the information they need to feel the joy of achieving their best health. Our opportunities in Data Science and Data Engineering are designed to enhance your personal and professional growth and build the skills that lead to success. Analytics & Behavior Change has the feel of a startup within one of the nation's largest companies, and we're looking for people who are motivated by solving tough challenges to join us in transforming health care" .one line of code at a time.
  
  What you will do
  
  Work with analytics teams and our business partners to understand their goals and objectives
  
  Use programming skills, predictive/statistical modeling and analysis to analyze large volumes of structured and unstructured data, determine analytical approaches, and evaluate potential outcomes
  
  Generate insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners
  
  Help design programs/campaigns to improve the quality of health care, lower costs, and help our members and customers achieve their best health
  
  Location: Hybrid
  New hires will be based at a CVS Health office location that aligns with the business needs. Office locations have not yet been decided and will be announced at a later date. Some positions are available fully remote depending on the business.
  
  Relocation: Relocation assistance will not be provided.
  
  Work visa sponsorship is available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.Meet educational requirements (see Education section)
  
  Have a willingness to relocate if needed
  
  Knowledge of data science techniques including statistical analysis and modeling
  
  Experience in R or Python and SQL
  
  Internship or work experience in a related fieldExcellent problem solving and critical thinking ability
  
  Strong written and verbal communication skills
  
  Ability to clearly present technical concepts and implications to both technical and non-technical audiencesAnticipated completion of a Master's degree program by start date
  
  Have a major, minor, concentration, or work experience relevant to the position. Examples include Statistics, Biostatistics, Mathematics, Data Science, Health Data Science

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$86,520.00 - $173,040.00

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 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: 05/08/2025

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