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Jerry is building an AI-powered platform to manage all your physical assets—starting with car insurance and expanding into home, motorcycle, RV, and beyond. The company has reached 5M+ customers, raised $240M+, scaled revenue 70X, and achieved profitability in early 2024. They are now scaling toward 50M customers and a $10B valuation.
The Data Science & Analytics team is a core strategic function composed of former McKinsey, BCG, and Bain consultants who drive insights and inform decision-making across product, growth, tech, and operations. Each business unit has an embedded data scientist who shapes questions, pulls data, draws conclusions, and drives teams toward key goals.
As an Associate Data Scientist, you will be embedded in one of Jerry's core business areas—Growth Marketing, Product Development, AI & Automation, or Strategic Partnerships—and own the analytical function for that business unit end-to-end.
Key responsibilities:
- Define the right problems: Understand what business question an analysis answers and what decision it will inform. Push back on flawed questions.
- Data and insights: Define metrics, build reports, run analyses, design experiments, and surface insights that move your team's key metrics.
- Drive outcomes: Bring recommendations to product, growth, finance, or operations counterparts. Explain what's happening, why, and what next steps should be.
The role is hands-on—not pure strategy. You will surface analytical insights, drive decisions, and see them through end-to-end. The culture emphasizes no slides, no corporate fluff, and no unnecessary meetings. Every person owns a critical domain.
Requirements:
- 1+ years of experience at a consulting firm, investment bank, or high-growth technology company
- Strong analytical skills; ability to pull, structure, and interpret data independently
- Track record of owning ambiguous problems and delivering impact
- Clear, persuasive communicator who can influence decisions at the leadership level
- First principles thinker who breaks ambiguous problems into clear hypotheses before touching data
- Comfortable with SQL or Python
- Direct communicator who can walk skeptical stakeholders through complex findings and get buy-in quickly
Tools: SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.
