Senior Data Scientist

Jerry.aiSan Francisco, CA
$150,000 - $170,000

About The Position

Jerry.ai is seeking Senior Data Scientists to join their Data Science & Analytics team. This team acts as a force multiplier, driving data insights and informing decision-making across product, growth, tech, and operations. As a Senior 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 for that unit. 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 cross-functional teams. The company is looking to expand from 5 million to 50 million customers and become a $10 billion business in the next four years, and this role is crucial to that growth.

Requirements

  • 4+ 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 but be embedded in one of Jerry's core product or business areas (growth, product, AI and automation, strategic partnerships).
  • Own the analytical function for that business unit end-to-end.
  • Define the right problems: Understand what business question an analysis is answering and what decision it will inform, and push back if the question is flawed.
  • Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
  • Bring recommendations to counterparts in product, growth, finance or operations, explain what's happening and why, and outline 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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