Data Scientist (Decision Sciences Team)

CVS Health

1d•$64,890 - $173,040

About The Position

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.

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

Nice To Haves

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

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