Senior Data Scientist
Tasks
- Analyze fraud waste and abuse cases
- Build mathematical models for decision support
- Build predictive models for savings and operational efficiency
- Conduct propensity matching analysis
- Create probabilistic models for home health and long term care
- Develop ML and AI solutions for provider behavior identification
- Develop statistical machine learning and NLP models
- Evaluate population health program performance
- Measure program lift for care management and adherence
- Stratify social risk using machine learning
Perks/Benefits
- N/A
Skills/Tech-stack
Data Mining | Excel | Fraud analytics | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Power BI | Predictive Modeling | Probabilistic Modeling | Propensity Matching | Python | R | Risk Identification | SAS | SQL | Statistical modeling
Education
Roles
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