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Jerry is building an AI-powered platform to manage all your physical assets—cars, homes, motorcycles, and more. Starting with car insurance in 2019, Jerry has grown to 5M+ customers, raised $240M+, and achieved profitability in 2024. The company is now expanding into adjacent verticals to become a one-stop-shop for managing physical assets.
The Data Science & Analytics team is composed of former McKinsey, BCG, and Bain consultants who drive insights and inform decision-making across the entire business. Each business unit has an embedded data scientist who shapes strategic questions, pulls data, draws conclusions, and drives teams toward the next milestone: scaling from 5M to 50M customers and becoming a $10B business in four years.
As an Associate Data Scientist, you will sit on the central Data Science & Analytics team while being embedded in one of Jerry's core business areas—Growth Marketing, Product Development, AI & Automation, or Strategic Partnerships. You will own the analytical function for your assigned 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. Your day-to-day involves surfacing analytical insights, driving decisions, and seeing them through end-to-end. You will work with SQL (Clickhouse), Metabase, Python, Jupyter Hub, and GitHub.
The culture emphasizes no slides (no 3am deck reformatting), no corporate fluff, and no unnecessary meetings. The team is 14 insatiable learners who care deeply about solving difficult problems and making tangible impact. Every person owns a critical domain with no bloat or waiting for approvals.
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
- Direct communicator who can walk skeptical stakeholders through complex findings and get buy-in quickly
- Owner mentality: if something is broken, you feel responsible for fixing it, even outside your swim lane
