Job Description:
• Act as the Subject Matter Expert (SME), drive the end-to-end building and execution of our Risk & Underwriting AI models, directly translating actuarial and healthcare financial risk expertise into high-performance AI models and rigorous evaluation frameworks.
• Set the technical roadmap and lead the development of ML models focused on healthcare financial risk stratification and financial underwriting.
• Establish best practices for model building, model validation, and rigorous back testing/benchmarking across the data science organization to drive high performance models, while maintaining stability and alignment of models.
• Mentor junior data scientists, fostering a culture of rigorous research, high-quality engineering, and innovation.
• Partner with clinicians to translate medical knowledge into data-driven hypotheses and with Product/Executive teams to align technical capabilities with market opportunities.
• Work with Engineering to design the next generation of our platform’s quality and extensibility, ensuring it remains performant for millions of patients.
• Represent Prealize Health’s technical expertise to external strategic partners and stay at the forefront of literature in ML, Actuarial Science, and Biostatistics.
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 (e.g., Claude Code, Cursor, Codex) to accelerate development cycles and enhance code quality.
• Expert-level understanding of model evaluation metrics (e.g., Gini, lift, calibration), back testing frameworks, and validation protocols for high-stakes predictive modeling.
• Demonstrated ability to lead cross-functional projects, influence technical roadmaps, and solve high-ambiguity problems in high-dimensional datasets.
• Exceptional ability to distill complex technical strategies for executive stakeholders and external partners.
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, and more
Location: , ,
Salary: 160000 – 190000
Remote Rocketship: Apply Here