Associate Data Scientist

Jerry.ai•New York, NY
•$110,000 - $140,000

About The Position

Jerry.ai is hiring 2–3 Associate Data Scientists for its central Data Science & Analytics team, with each person embedded in a core business area such as growth marketing, product development, AI and automation, or strategic partnerships. The role owns the analytical function for its assigned business unit end-to-end and helps the company make decisions as it expands its products and customer base. The position combines analytical work with hands-on execution. It involves identifying the business question and decision behind each analysis, defining metrics, building reports, conducting analyses and experiments, and communicating recommendations to business partners. The successful candidate will help teams understand what is happening, why it is happening, and what to do next. Jerry.ai supports remote work for most roles and also has offices in Palo Alto, New York City, Chicago, and Toronto. The company can hire only full-time employees who reside in specified U.S. states or Ontario, Canada. Starting pay is within the range listed on the job posting, but no salary figures are provided in the supplied description. Compensation may include equity opportunities.

Requirements

  • At least 1 year of experience at a consulting firm, investment bank, or high-growth technology company.
  • Strong analytical skills and the ability to independently pull, structure, and interpret data.
  • Comfort with SQL or Python.
  • A track record of owning ambiguous problems and delivering impact.
  • Clear, persuasive communication skills and the ability to influence decisions at the leadership level.

Responsibilities

  • Own the analytical function end-to-end for an assigned business unit, embedded within a core area such as growth, product, AI and automation, or strategic partnerships.
  • Clarify the business question an analysis should answer and the decision it should inform; challenge flawed questions when appropriate.
  • Define metrics, build reports, run analyses, and design experiments.
  • Surface data insights that improve the business unit’s key metrics.
  • Present recommendations to partners in product, growth, finance, or operations, explaining what is happening, why, and what next steps to take.
  • Drive analytical work and decisions through to execution and outcomes.

Benefits

  • Health coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Paid parental leave
  • 401(k) plan with employer matching
  • Wellness benefits
  • Potential equity opportunities
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