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 Senior Data Scientist, you will play a key role in driving impactful data-driven solutions within our team. Your work will focus on developing predictive models, leveraging machine learning algorithms, and analyzing large datasets to provide actionable insights that influence strategic decisions. You will be solving complex business problems, collaborating with cross-functional teams, and identifying opportunities to optimize processes and performance. Our team is focused on delivering high-quality, scalable data products that directly contribute to the success of the organization.
 

Required Qualifications:

• Minimum of 3 years of experience in data science, analytics, or a related field.
• Proficiency in programming languages such as Python and SQL.
• Extensive experience working with machine learning algorithms, including but not limited to regression, classification, clustering, and deep learning.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Expertise in statistical analysis and hypothesis testing.
• Strong experience with data preprocessing, feature engineering, and model selection.
• Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure).
• Proven track record of delivering end-to-end data science solutions, from problem definition to model deployment.
• Strong understanding of data structures, algorithms, and software engineering principles.

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with deploying models to production environments and integrating with business applications.
• Experience working with large-scale, unstructured data sets.
• Strong problem-solving skills, with the ability to think critically and analytically.
• Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
• Ability to mentor junior team members and provide technical leadership.
• Proven ability to work effectively in a fast-paced, collaborative team environment.

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

Time Type

Pay Range

The typical pay range for this role is:

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

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