Hagerty · 1 day ago
Data Scientist, Tech Lead
United States
Full-time
Remote
Senior Level, Lead/StaffHagerty is an automotive enthusiast brand and the world’s largest membership organization. As a Data Scientist, Tech Lead, you will operate as a technical leader on the Data Science team, supporting machine learning and generative AI initiatives, and mentoring other data scientists while influencing the technical direction of the team.
Auto InsuranceInsuranceInsurTech
Responsibilities
Plan, design, develop, and deploy end-to-end predictive, prescriptive, and generative models—including supervised ML, anomaly detection, agentic systems, and graph-based models
Build production-ready ML and GenAI applications using Python, scikit-learn, XGBoost, PyTorch, NetworkX, and related tools
Develop and evaluate LLM-driven applications, retrieval systems, embeddings, fine-tuning strategies, and agent workflows
Own the full lifecycle of model deployment using Metaflow, Airflow, containerization (Podman/Docker), FastAPI, and related tooling
Collaborate with MLOps and DevOps teams to design scalable workflows, CI/CD pipelines, monitoring systems, and model governance processes
Monitor, evaluate, and remediate model performance in production environments
Write high-quality code to query, transform, and analyze large datasets from Snowflake, SQL Server, and AWS RDS Postgres
Prepare modeling datasets, build feature pipelines, and ensure robustness, reproducibility, and data quality
Explore emerging technologies and methods to enhance data science capabilities across the organization
Lead full-scope projects independently from concept to delivery—setting timelines, identifying risks, and ensuring high-quality outcomes
Provide technical mentorship and thorough code/model reviews to other data scientists
Drive adoption of new libraries, tools, and engineering practices when appropriate
Collaborate closely with engineering, product, MLOps, DevOps, Marketing, and Insurance leaders
Present complex findings to both technical and non-technical audiences—including regular briefings to VP-level and C-suite stakeholders
Influence cross-functional alignment on new analytics approaches and model-driven solutions
Qualification
Required
Master's degree or higher degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience)
Extensive experience building and deploying ML models and GenAI systems in production environments
Strong proficiency with Python and ML frameworks such as scikit-learn, XGBoost, and PyTorch
Deep experience with SQL and data modeling in Snowflake, SQL Server, or similar distributed environments
Hands-on experience building containerized applications and deploying using FastAPI, Docker/Podman, and workflow orchestration tools like Metaflow or Airflow
Demonstrated ability to decompose ambiguous business problems into data-driven solutions
Strong communication skills with an ability to simplify complex technical ideas for executives and business stakeholders
Proven track record of mentoring other data scientists and delivering high-quality technical reviews
Preferred
Experience with generative AI (LLMs, embeddings, agents, RAG, fine-tuning) in a production or near-production context
Experience with graph modeling, anomaly detection systems, or agent-based approaches
Familiarity with automotive, insurance, or marketplace data
Experience in environments where data scientists own both modeling and MLOps responsibilities (~50/50 split)
Company
Hagerty
Hagerty was built by people who love cars. We began as a niche insurance agency offering coverage for collector cars.
Founded in 1983
1001-5000 employees
H1B Sponsorship
Hagerty has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (3)
2022 (2)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$195.6M2025-08-07Post Ipo Secondary· $90.6M
2023-06-23Post Ipo Equity· $80M
2023-06-23Post Ipo Debt· $25M
Leadership Team
Arjun Chowdri
Senior Vice President, Membership & Retention
Gary Chard
Senior Vice President, Operations - Marketplace
Recent News
Broad Arrow Auctions
2025-07-22
Company data provided by crunchbase