Senior Data Scientist
Summary
Senior Data Scientist owning underwriting predictive models and member risk features in a health insurance context, collaborating with ML engineers to deploy models at scale and monitor prediction lifecycle outcomes.
- 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:
- Equity
- Health insurance
- Paid time off