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4 дня назад

Manager 3, People Analytics (Research & Data Science)

234 000 - 316 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manager 3, People Analytics (Research & Data Science) (People Analytics/AI): Leading workforce analytics, employee research, predictive modeling, and AI-native decision tools that shape people strategy and executive decision-making with an accent on methodological rigor, causal inference, and organizational effectiveness. Focus on reviewing models, building scalable analytical frameworks, and guiding a distributed data science and research team.

Location: Mountain View, California or San Diego, California, United States

Salary: $234,000–$316,500 annual base pay in Mountain View, with potential bonus, equity, and benefits.

Company

hirify.global is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Lead analytical and modeling direction across workforce forecasting, organizational effectiveness, employee research, and AI-native tooling.
  • Connect insights across hiring, workforce planning, performance, internal mobility, and employee experience to support executive decisions.
  • Guide predictive, prescriptive, experimental, and causal-inference work, reviewing assumptions, bias, interpretability, and model quality.
  • Shape analytics strategies, measurement frameworks, and product roadmaps for AI-powered People & Places initiatives.
  • Lead a distributed team of data scientists and researchers, establish methodology and documentation standards, and manage demand across business partners.

Requirements

  • 10+ years of experience in people analytics, data science, and applied research in people or workforce contexts.
  • 4+ years managing analytics or data science teams, preferably across multiple teams or domains.
  • Deep experience with predictive and prescriptive modeling, experimentation, causal inference, survey methods, and psychometric research.
  • Fluency in SQL and Python or R, plus experience with modern cloud data environments and workflow management tools.
  • Experience with workforce forecasting, attrition and retention, hiring analytics, compensation, organizational effectiveness, and AI-native analytics products.
  • Ability to establish shared data definitions, influence senior executives, and translate complex analysis into decisions.

Culture & Benefits

  • Data-driven and equitable people processes focused on growth and inclusion.
  • Competitive compensation with pay-for-performance rewards.
  • Potential cash bonus, equity rewards, and benefits according to applicable plans and programs.
  • Regular pay-equity comparisons across ethnicity and gender categories.

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