Decision Scientist (Automation & Optimization)
About The Position
The Advanced Automation and Optimization team at Oak Street Health, part of CVS Health, develops GenAI and machine-learning products to improve clinical and administrative outcomes. The Decision Scientist will track and understand how internally developed and vendor-created data science products influence outcomes. This role develops working knowledge of clinical and operational data and applies it to healthcare problems; creates reusable, validated, documented data assets; and builds queries, dashboards, and visualizations to communicate data quality, availability, and clinical insights to technical and non-technical audiences. The position also translates clinical concepts into analytical frameworks, develops analysis pipelines using statistical methods to identify outcome drivers, and partners with data engineering on pipeline design. Ad hoc analysis and other work may also be required. The position offers mentorship and a growth path within the analytics organization, as well as exposure to large-scale real-world datasets and stakeholder-facing analytics. Candidates near Chicago are preferred, though candidates elsewhere in the continental United States may be considered.
Requirements
- At least 1 year of experience in applied analytics using data, analysis, and automation to solve healthcare or other business questions.
- At least 1 year of combined work or academic experience using SQL and Python to pull, clean, prepare, and analyze data.
- Bachelor’s degree or equivalent.
Nice To Haves
- At least 3 years of experience applying advanced analytics, business intelligence, and data wrangling to assist in developing clinical-space automation that helps doctors use analytics in treatment plans.
- Working knowledge of clinical coding and terminology standards, including ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm.
- Software development experience.
Responsibilities
- Develop a deep working knowledge of clinical and operational data, including how it is structured and applied to real healthcare problems.
- Build reusable, validated data assets such as tables, views, and derived features, and document them thoroughly.
- Build queries, dashboards, and visualizations that surface data quality, data availability, and clinical insights for technical and non-technical audiences.
- Bridge clinical concepts and analytical frameworks, helping business partners understand what available data can and cannot support.
- Build analysis pipelines using statistical methods to identify key drivers of clinical and operational outcomes.
- Partner with data engineering on pipeline design so clinical data is ingested, transformed, and stored for downstream analytics needs.
- Perform ad hoc data analysis and other work as required.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility
- CVS Health bonus, commission, or short-term incentive program eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
