Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections
Job Summary
Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections.
Introduce novel modeling techniques and approaches to enable trend anomaly detection, leading indicator models, and predictive frameworks for claim lifecycle and utilization patterns.
Communicate findings and strategic insights effectively to technical audience and senior leadership across multiple domains, empowered by data visualization tools and technologies.
Matching Summary
Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections.
Salary
Base: 178,500 - 297,500 USD / yearly; Bonus/Equity: annual bonus and long term incentive plan; Benefits: medical, vision, dental, well-being, 401(k), life insurance, tuition reimbursement, 18+ PTO days, paid holidays
Skills & Requirements
Must-have
advanced statistical and machine learning models
trend anomaly detection
predictive frameworks for claim lifecycle
Python, R, SQL, Git, cloud-based ML
healthcare payer data
dashboarding and visualization tools
Nice-to-have
culture of curiosity and innovation
senior and business leadership communication
mentoring and developing data science talent
Key Requirements
10+ years of progressive Data Science experience
Healthcare experience highly desirable
Expert proficiency in Python, R, SQL, Git, cloud-based ML
Experience with big data platforms (Databricks, Spark)
Familiarity with healthcare payer data and actuarial applications
Advanced degree in Data Science, Statistics, Computer Science, or related field, or equivalent experience