Senior Data Scientist

Say hello to Hagerty Hagerty is a company built by drivers for drivers. We put our members at the center of everything we do and are dedicated to making it easier and more enjoyable for enthusiasts to drive and celebrate the machines they love. We’re proud to be the world’s largest insurer of collectible and enthusiast vehicles and are home to the Hagerty Drivers Club, the world’s largest car club. Our Marketplace business presents live and digital sales across the U.S. and Europe, we host a number of driving events and concours, and our award-winning automotive journalists produce the most popular car magazine globally, alongside internationally awarded videos. We’re committed to Never Stop Driving. Ready to get in the driver’s seat? Join us! As a Data Scientist III at Hagerty, you'll build the customer identity and personalization layer that powers how we understand and engage members across our subscription and property & casualty (P&C) insurance products. This is a hands-on, build-and-ship role on the Data Science team, working in close partnership with ML Ops, Data Engineering, and Marketing/Product. You'll help create a unified, resolved view of each member across our data ecosystem—spanning auto insurance policies, subscription memberships, and the broader automotive enthusiast community—and turn it into recommendation, personalization, and predictive models that deli [... source excerpt omitted ...] ght message at the right moment. The goal is a system where identity, relevance, and timing work together to make every member interaction feel personal—at scale. What you’ll do Customer Identity & Data Foundations Build identity resolution across first-party and third-party data sources, stitching member, household, vehicle, and behavioral signals from auto insurance and subscription touchpoints into a coherent, usable view. Develop matching systems that pair a strong deterministic foundation with probabilistic matching at scale, balancing precision, recall, and cost. Partner with Data Engineering and the Customer Data Platform (CDP) team to land resolved identities and aud [... source excerpt omitted ...] cross insurance and membership products. Own full modeling workflows: exploratory analysis, feature engineering, model development, cross-validation, and performance monitoring. Productionization & Collaboration Ship models as reliable production services in partnership with ML Ops, contributing to containerized deployments, automated testing, and monitoring. Source and analyze features from Snowflake, SQL Server, and AWS RDS Postgres, and work with Data Engineering to promote proven features into scalable pipelines. Contribute to the team's modeling standards through maintainable, well-documented, testable code. Communicate methods, results, and trade-offs clearly to technic