Senior Data Scientist
Tasks
- Build evaluation framework
- Collaborate with ML engineers to deploy at scale
- Create member risk features
- Develop roadmap for model and feature work
- Evaluate model failures and gaps
- Handle dataset bias in training and inference
- Implement machine learning model architectures
- Improve member cost variance handling
- Monitor prediction lifecycle and outcomes
- Own underwriting predictive model
- Run backtesting to measure MLR impact
Perks/Benefits
Skills/Tech-stack
Apache Spark | Backtesting | Causal Inference | Data bias | Feature Engineering | Healthcare Data | ML Architecture | Machine Learning | Model Validation | Python | SQL
Education
Roles
Regions
Countries
States
Cities
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