Risk Adjustment Analytics Data Scientist

Responsibilities

• Perform exploratory analysis, data profiling, cohort segmentation, and KPI analysis to support business questions.
• Handle large-scale datasets to identify outliers and calculate utilization rates across various geographies.
• Conduct complex actuarial analysis to assist clients in the research, design, and development of innovation models.
• Execute predictive data analysis to determine forecast utilization or enrollment seasonality.
• Evaluate data quality standards, ensuring referential integrity, comprehensiveness, and conformance to expected values.
• Present analytical findings in a clear, actionable format to project and client leadership.
• Lead workstreams and mentor team members by providing clear technical guidance.

Requirements

• Bachelor's degree in a relevant field.
• Ability to obtain and maintain a Public Trust clearance.
• 8+ years of experience in data science, data analysis, or data engineering.
• 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.
• Ability to travel 10-15% on average.
• Legal authorization to work in the United States without sponsorship.

Preferred Qualifications

• Master's degree in a quantitative field.
• Advanced SQL skills.
• Experience working with large healthcare datasets, including claims, enrollment, providers, and financials.
• Previous experience in Federal Health sectors.
• Active Public Trust clearance.

About the Company

Deloitte's Government & Public Services (GPS) practice serves federal, state, and local government clients as well as public higher education institutions. We provide integrated business expertise and scaled technology solutions designed to help our clients anticipate disruption and fulfill their mission-critical operations.