Associate Data Scientist

Jerry.ai•San Francisco, CA

2d•$85,000 - $130,000

About The Position

Jerry.ai is seeking Associate Data Scientists to join their Data Science & Analytics team. This team acts as a force multiplier, driving data insights and informing decision-making across all business units. As a Data Scientist, you will be embedded within a core product or business area (growth, product, AI and automation, strategic partnerships) and own the analytical function end-to-end. Your role will involve defining the right problems to solve, defining metrics, building reports, running analyses, designing experiments, surfacing data insights, and driving outcomes by bringing recommendations to counterparts in product, growth, finance, or operations. The company is looking for individuals who are first principles thinkers, direct communicators, and owners, with a passion for solving difficult problems and making a tangible impact. This is a hands-on role where you will own execution, from analytical insights to driving decisions.

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 analytical problems and driving them to a business outcome.
Clear, persuasive communicator who can influence decisions at the leadership level.
First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask "what are we trying to solve here?" before jumping to "what should I build?"
Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede.
Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane.

Responsibilities

Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed.
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.