Prealize Health is seeking a Staff Data Scientist to lead the evolution of predictive models for risk adjustment and underwriting in the healthcare industry. The ideal candidate will have a strong background in machine learning, actuarial science, and healthcare financial risk.
Requirements
- PhD and/or MS in Statistics, Biostatistics, Economics, Computer Science, or a related quantitative field
- 8–10+ years of experience building and deploying commercial-grade data science products with a proven track record of technical leadership
- Deep experience building and validating models for healthcare underwriting use cases
- Expert proficiency in Python and distributed computing (PySpark/Spark/SQL)
- Proficiency in leveraging AI-assisted coding tools to accelerate development cycles and enhance code quality
- Expert-level understanding of model evaluation metrics and back testing frameworks
- Demonstrated ability to lead cross-functional projects and solve high-ambiguity problems in high-dimensional datasets
Benefits
- Flexible work environment
- Competitive base salary plus a generous bonus and equity plan
- Paid time off including holidays
- Medical, dental, vision
- 401k
- Wellness and home office benefits