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14 часов назад

Data Scientist (AI)

140 000 - 160 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI): Driving analytical insights and decision-making across growth, product, and AI business units with an accent on first-principles problem solving and metric definition. Focus on building experiments, surfacing data-driven recommendations, and owning the analytical function end-to-end for core business areas.

Company

hirify.global is building the first AI agent to manage all physical assets, including car insurance, home, and maintenance, serving over 5 million customers.

What you will do

  • Define business problems and identify the right questions to inform strategic decisions.
  • Define key metrics, build reports, and design experiments to drive business outcomes.
  • Surface data insights and translate them into actionable recommendations for product, growth, and operations teams.
  • Own the analytical function end-to-end for a specific business unit.
  • Collaborate with cross-functional teams to drive growth and product development.

Requirements

  • Must reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada.
  • 2+ years of experience at a consulting firm, investment bank, or high-growth technology company.
  • Strong analytical skills with proficiency in SQL and Python.
  • Track record of owning ambiguous problems and delivering measurable impact.
  • Clear, persuasive communication skills to influence leadership decisions.

Culture & Benefits

  • Comprehensive benefits package including health, dental, and vision coverage.
  • Paid time off and paid parental leave.
  • 401(K) (U.S.) or RRSP (Canada) plan with employer matching.
  • Equity opportunities as part of the total rewards package.
  • Fully remote work environment with a focus on hands-on execution and minimal corporate bureaucracy.

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