Staff Data Scientist

Jerry.ai•New York, NY
•$180,000 - $230,000•Remote

About The Position

Jerry.ai is seeking Staff Data Scientists to join their Data Science & Analytics team. This team is responsible for driving data insights and informing decision-making across all business units, including product, growth, tech, and operations. The role involves embedding within a core business area (growth, product, AI and automation, strategic partnerships) and owning the analytical function end-to-end. The goal is to help Jerry.ai scale from 5 million to 50 million customers and become a $10 billion business in the next four years. The company emphasizes a culture of impactful work, direct communication, and ownership, with no corporate fluff or unnecessary meetings. This is a hands-on role where you will surface analytical insights, drive decisions, and see them through to completion.

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: break 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 one of Jerry's core business areas (growth, product, AI and automation, strategic partnerships).
  • 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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