Staff Data Scientist

Jerry.ai•Los Angeles, CA

2d•$170,000 - $220,000

About The Position

Jerry.ai is seeking a Staff Data Scientist to join its central Data Science & Analytics team. This role involves embedding within a core product or business area (growth, product, AI and automation, strategic partnerships) to own the analytical function end-to-end. The Data Science & Analytics team is crucial for driving data insights, informing decision-making, and accelerating business growth. The team is composed of analytical powerhouses who solve complex problems and push forward key initiatives. This position is ideal for someone who wants to make a tangible impact on a rapidly growing business, moving from 5M to 50M customers and aiming to become a $10B business in the next four years.

Requirements

6+ 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: breaks ambiguous problems into clear hypotheses before touching data.
Analytically strong (comfortable with SQL or Python).
Direct communicator: can walk a skeptical stakeholder through a complex finding and get buy-in quickly.
Owner: acts like their name is on the door and feels responsible for fixing things, even if outside their swim lane.

Responsibilities

Sit on the central Data Science & Analytics team and be embedded in a core product or business area.
Own the analytical function for a business unit end-to-end.
Define the right problems by understanding the business question an analysis will answer and the decision it will inform.
Push back on flawed questions.
Define metrics, build reports, run analyses, design experiments, and surface data insights that move key metrics.
Bring recommendations to counterparts in product, growth, finance, or operations.
Communicate findings, explain what's happening and why, and propose next steps.