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11 часов назад

Head Of Data Science (Healthtech)

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

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TL;DR

Head of Data Science (Healthtech): Leading the data science function to transform behavioral and engagement data into strategic insights for a high-growth health platform with an accent on product-centric analytics and member outcomes. Focus on building a high-performing team, establishing core measurement frameworks, and driving data-informed product decisions as the company scales to millions of members.

Location: Must be based in the US or Canada

Company

hirify.global is an AI-powered health operating system providing comprehensive, continuous insights into human biology to help people live 100 healthy years.

What you will do

  • Lead, manage, and develop a high-performing Data Science team, overseeing hiring, coaching, and career development.
  • Set the data science strategy and roadmap across acquisition, activation, engagement, retention, and clinical outcomes.
  • Build the operating model for the DS function, including prioritization, project planning, and communication cadences.
  • Establish core product and business measurement frameworks, including north-star metrics, experimentation standards, and executive reporting.
  • Partner with cross-functional leaders in Product, Engineering, Growth, and Clinical teams to prioritize high-impact work.
  • Ensure analytical rigor in decision-making, applying methods like causal inference, segmentation, and forecasting.

Requirements

  • 10+ years of experience in data science or product analytics in high-scale digital product environments.
  • 4+ years of people-management experience, with preference for leading teams of 15+.
  • Proven track record of building and scaling a Data Science function.
  • Strong product and business judgment with experience influencing roadmap and growth strategy.
  • Deep fluency in product analytics, experimentation, causal inference, and metric design.
  • Strong technical fluency in SQL, statistical reasoning, and modern analytical tooling.

Nice to have

  • Experience with subscription-based models.
  • Experience with personalization and lifecycle growth strategies.

Culture & Benefits

  • Competitive salary and benefits package.
  • Flexible working hours.
  • Dynamic, mission-driven environment focused on improving global health.
  • Collaborative culture emphasizing radical ownership and relentless execution.

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