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.

Position Summary

As a Data Scientist, you will join a dynamic team focused on solving complex data challenges to drive decision-making and enhance operational efficiency. Our team works across multiple domains to extract actionable insights from vast datasets, build predictive models, and deliver impactful solutions. You will be responsible for applying advanced statistical analysis, machine learning techniques, and data visualization to uncover trends and provide recommendations. In this role, you will collaborate closely with stakeholders to ensure that data-driven insights influence strategic decisions and deliver business value.
 

Required Qualifications

• 1+ years of experience in data science, analytics, or a related field
• Strong proficiency in Python and R, with experience using libraries such as pandas, NumPy, scikit-learn, and TensorFlow
• Proficiency in SQL for data manipulation and querying large datasets
• Experience with machine learning model development, evaluation, and deployment
• Solid understanding of statistical methods and techniques for data analysis
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib
• Demonstrated ability to work with large, complex datasets and extract meaningful insights
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Strong problem-solving and analytical skills with attention to detail
• Excellent communication skills for presenting technical information to non-technical audiences

Preferred Qualifications

• Ability to translate business problems into analytical frameworks and solutions
• Experience working with unstructured data such as text, images, or audio
• Familiarity with data engineering and ETL pipelines
• Knowledge of deep learning algorithms and frameworks
• Familiarity with big data tools like Hadoop, Spark, or Databricks
• Strong team collaboration skills, including working with cross-functional teams
• Comfort with Agile project management methodologies

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:

$64,890.00 - $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.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 03/19/2025

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