Data Scientist (Decision Sciences Team)

CVS Health; Arkansas; Hybrid; USD 65,000 - 173,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off

Retirement Savings

Wellness programs

Job summary

CVS/Oak Street Health seeks a Data Scientist to join the Decision Sciences team. You will collaborate with data scientists and analysts on study designs, ROI assessments, and program evaluations, delivering data-driven solutions to optimize care models and improve patient outcomes.

You will work with stakeholders in a fast-paced environment, performing analyses, building visualizations, and presenting results to diverse audiences.

Qualifications

• PhD or Master’s with 1+ year relevant experience, or Bachelor’s with 3+ years in STEM.

Responsibilities

• Apply statistical analyses and ML methods to business questions.
• Perform exploratory data analysis to quantify trends.
• Create insights and visualizations to support data initiatives.
• Wrangle and analyze large structured and unstructured datasets.
• Communicate findings to diverse audiences.

Skills

Statistical analysis

Machine learning

SQL

Python

Communication

Problem solving

Data wrangling

Audience communication

Education

PhD or Master’s with experience

Bachelor’s with 3+ years in STEM

Tools

GCP

BigQuery

GitHub

Databricks

Vertex AI

Job description

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.

Role Description

CVS/Oak Street Health is looking for a Data Scientist to join our Decision Sciences team. This team is responsible for delivering data-driven solutions to optimize Oak Street Health's innovative care model and ultimately improve patient outcomes. This team works with many stakeholders across the organization in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided. As a Data Scientist, you will work with other data scientists and analysts on prospective study designs & execution, ROI assessments, and clinical program evaluations & optimizations. You will be involved in creating statistical analysis plans in partnership with program stakeholders and presenting results to a diverse audience. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model.

Core Responsibilities

• Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientists
• Execute exploratory data analysis to validate and quantify trends identified by partner organizations.
• Develop insights, visualizations, and other data artifacts that support broader data science initiatives
• Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion
• Demonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude
• Other duties as assigned

Minimum Requirements

• 3 years of demonstrated experience conducting statistical analysis and machine learning to answer research or business questions (1+ years if candidate has a Masters or PhD)
• 3 years of experience in SQL and Python programming (1+ years if candidate has a Masters or PhD)
• Demonstrated ability to decompose multi-tier problems into actionable steps
• Excellent problem-solving and analytical skills
• Experience working with large datasets, analyzing data, and extracting meaningful insights
• Demonstrated ability to communicate complex analytical findings to diverse audiences

Preferred Requirements

• Experience with Google Cloud Computing (GCP)
• Experience with BigQuery
• Experience working with medical data sets
• Experience working with data engineering/MLOps teams to productionalize data science models
• Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.)
• Familiarity with Medicare, Medicaid, and value-based models of health care
• Familiarity with Epic Electronic Health Record (EHR) system

Education

• A PhD or a Master's degree with 1+ years of relevant experience, or a Bachelor's degree with 3+ years of relevant experience in a STEM field such as Operations Research/ Industrial Engineering, Applied Mathematics, Computer Science, Engineering, or a related field.

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 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: 09/09/2026

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