Lead Risk Analytics Data Scientist
Core
Designing premium structures and risk monitoring tooling for product protection and shipping protection offerings to maintain healthy loss ratios and support business decisions.
Role type
Lead Risk Analytics Data Scientist
Builds
Pricing infrastructure, decision engine tooling, and data architecture for risk analytics
Domain
Insurance / Risk Analytics / E-commerce
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Actuarial pricing, predictive modeling, SQL, Python or R, pipeline development, data modeling, dbt, Snowflake, Tableau or Streamlit
Preferred skills
Actuarial Society exams (ACAS), AI tool experimentation (Claude, Gemini)
Technologies
dbt, Snowflake, Tableau, Streamlit, Claude, Gemini
Responsibilities
Design premium structures from first principles for new merchant categories, build tooling to convert loss ratio monitoring into actionable decisions, own the risk narrative with senior leadership, design the data foundation for Risk Analytics, automate manual steps in the risk workflow using AI
Seniority
Senior, hands-on IC with strategic ownership