Sr Data Scientist (healthcare & Medicaid)

Deloitte Deloitte · Consulting

This role focuses on data analysis and predictive modeling within the healthcare and Medicaid domain, emphasizing data quality and utilization rate calculations. It involves working with large datasets to identify trends and forecast outcomes.

What you'd actually do

  1. Conduct data analysis or research in one or more Medicaid and CHIP data domains to include Eligibility and Enrollment Performance Indicator data, TAF, Behavioral Health, Expenditures, 416T reports, and Health outcomes
  2. Handle analyses around a very large dataset, identifying outliers, and utilization rate calculations across different geographies.
  3. Perform predictive data analysis work to determine forecast utilization or enrollment seasonality.
  4. Dive deep into data quality standards, working closely with project leadership, to identify what constitutes a ‘good’ dataset by considering if the data has referential integrity, if it conforms to expected values, and is comprehensive.
  5. Present these findings and analysis in a clear format to project and client leadership.

Skills

Required

  • Python
  • Databricks
  • Medicaid/Medicare analysis
  • data analysis
  • data engineering

Nice to have

  • SQL
  • large health care datasets
  • claims
  • enrollment
  • providers
  • financials
  • Federal Health experience

What the JD emphasized

  • Must be able to obtain and maintain the required Public Trust clearance for this role
  • 8+ years of experience in data science, data analysis or data engineering functions
  • 5+ years of advanced Python experience for data manipulation and analysis
  • 5+ years of experience with Databricks for data engineering
  • 2+ years of experience in Medicaid/Medicare analysis, rules, and compliance