Data Scientist (Decision Sciences Team)

Role Overview

CVS/Oak Street Health is hiring a Data Scientist for the Decision Sciences team. The team delivers data-driven solutions to optimize Oak Street Health’s care model and improve patient outcomes in a fast-paced, agile environment.

Responsibilities

• Conduct statistical analysis and apply advanced mathematical/statistical methods to solve business problems.
• Perform exploratory data analysis (EDA) to validate and quantify trends from partner organizations.
• Develop insights, visualizations, and data artifacts to support broader data science initiatives.
• Wrangle and analyze large structured and unstructured datasets in a repeatable way.
• Design and execute prospective study designs, including ROI assessments and clinical program evaluations/optimizations.
• Create statistical analysis plans with program stakeholders and present results to diverse audiences.

Requirements

• 3+ years experience conducting statistical analysis and machine learning to answer research or business questions (or 1+ year with a Master’s/PhD).
• 3+ years experience with SQL and Python (or 1+ year with a Master’s/PhD).
• Ability to decompose multi-tier problems into actionable steps.
• Strong analytical and problem-solving skills.
• Experience working with large datasets and extracting actionable insights.
• Ability to communicate complex findings clearly (written and verbal).

Preferred Qualifications

• GCP and BigQuery experience.
• Experience with medical datasets.
• Experience partnering with data engineering / MLOps teams to productionalize models.
• Familiarity with GitHub and ML platforms such as Databricks and GCP Vertex AI.
• Knowledge of Medicare/Medicaid and value-based care models.
• Familiarity with Epic EHR systems.

Education

• PhD or Master’s with 1+ year relevant experience, or
• Bachelor’s with 3+ years relevant experience in a STEM field (e.g., Operations Research/Industrial Engineering, Applied Math, Computer Science, Engineering).