Lead Data Scientist
Role Overview
The Lead Data Scientist will independently lead applied AI and data science workstreams that translate complex healthcare and underwriting data into measurable improvements in risk selection, pricing accuracy, operational efficiency, and the underwriting experience.
The role will personally lead work from problem framing, target definition, feature engineering, and model development through rigorous validation, production deployment, monitoring, and business-impact measurement.
The Lead Data Scientist will operate with broad autonomy, manage workstream plans and risks, and bring major methodological, governance, or cross-platform decisions to the VP of AI and VP Analytics when a decision has broader business impact.
In addition to delivering models, the Lead Data Scientist will help build internal AI products and contribute improvements to shared practices for temporal validation, explainability, responsible AI and data use, model governance, and performance monitoring.
Working with the VP of AI and VP of Analytics, the role will align assigned workstreams to the broader scientific roadmap and escalate decisions with cross-workstream impact.
The role will partner with Business, AI, and Engineering to translate complex evidence into clear recommendations and measurable business outcomes.
Key Skills for This Role
Full Job Posting
Fire in the belly
The drive to learn, to improve, and to deliver outstanding value every day.
See the field
The ability to see the big picture and prepare to meet tomorrow’s needs.
Get it done right
The passion to produce at higher rates and to the highest standards.
For the greater good
A united community creating better health benefit solutions for all.
About ParetoHealth
Employee-benefits group-captive manager helping small and midsize employers self-fund healthcare and reduce cost volatility.
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