Staff Data Scientist

Jerry.aiNew York, NY
$180,000 - $230,000Remote

About The Position

Jerry.ai is seeking Staff 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. Data Scientists are embedded within business units (growth, product, AI and automation, strategic partnerships) to own the analytical function end-to-end. The role involves defining problems, surfacing analytical insights, driving decisions, and seeing them through to completion. The company is expanding rapidly and aims to grow from 5M to 50M customers and become a $10B business in the next 4 years. This role is hands-on, focusing on tangible impact and execution rather than just strategy or presentations.

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 problems and delivering impact.
  • 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 but be embedded in one of Jerry's core business areas (growth, product, AI and automation, strategic partnerships) and own the analytical function for that business unit end-to-end.
  • Define the right problems by understanding the business question an analysis is answering and what decision it will inform, pushing back if the question is flawed.
  • Define metrics, build reports, run analyses, design experiments, and surface data insights that move the team's key metrics.
  • Bring recommendations to counterparts in product, growth, finance, or operations, explaining what's happening, why, and outlining next steps.

Benefits

  • health coverage
  • dental coverage
  • vision coverage
  • paid time off
  • paid parental leave
  • 401(K) plan with employer matching
  • wellness benefits
  • equity opportunities
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