[Remote] Data Scientist, Tech Lead
Note: The job is a remote job and is open to candidates in USA. Hagerty 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.
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
Skills
- 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
- 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 Overview
- Hagerty was built by people who love cars. We began as a niche insurance agency offering coverage for collector cars. It was founded in 1983, and is headquartered in Traverse City, Michigan, USA, with a workforce of 1001-5000 employees. Its website is http://www.hagerty.com.
Company H1B Sponsorship
- Hagerty has a track record of offering H1B sponsorships, with 3 in 2023, 2 in 2022, 1 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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