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1 день назад

Senior Director, Analytics and Data Science, Core Product & Growth

247 000 - 366 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/director
Английский
b2
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
Senior Director, Analytics and Data Science, Core Product & Growth (Consumer Technology): Leading analytics and data science for acquisition, activation, engagement, retention, churn, and user growth with an accent on causal analysis, forecasting, experimentation, and AI-native workflows. Focus on building scalable analytical standards, embedding data science into product and engineering roadmaps, and developing high-performing teams that influence measurable business outcomes.

Location: Remote within the United States and Canada; the role is based in the United States

Salary: $247,000–$366,000 USD base salary per year, plus equity.

Company

Large-scale consumer technology organization operating in a data-rich environment with behavioral and location-related events, subscription activity, connected devices, and network effects.

What you will do

  • Lead and develop decision scientists and data scientists while raising technical, strategic, and analytical quality standards.
  • Own models and forecasts for monthly active user growth and its acquisition, activation, engagement, retention, and churn drivers.
  • Lead exploratory and strategic analytics that convert behavioral insights into product and business priorities.
  • Define standards for scoping, conducting, reviewing, communicating, and documenting analytical work.
  • Partner with Product, Engineering, Marketing, Revenue Analytics, and Data Engineering leadership on metrics, experimentation, and roadmap decisions.
  • Apply AI-native methods, coding agents, automated analysis, causal reasoning, and intelligent tooling while preserving appropriate human judgment.

Requirements

  • 10+ years of experience in analytics, data science, decision science, or a related discipline, including at least 5 years of senior-level people management.
  • Deep expertise in inferential and causal analytics, consumer behavior metrics, cohort analysis, engagement, retention, and churn.
  • Experience forecasting a company-level business metric and being accountable for the outcomes.
  • Strong SQL and Python or R skills, with experience using modern data and analytics platforms.
  • Experience with Databricks, experimentation platforms such as Statsig, Tableau or comparable BI tools, and AI-native analytics tools such as Hex or AI/BI.
  • Bachelor's degree or equivalent practical experience required, along with executive communication, prioritization, influencing, and stakeholder-management skills.

Nice to have

  • Master's degree or PhD in social science, psychology, behavioral science, or a related field.
  • Experience with B2C subscription businesses and embedded product and engineering teams.
  • Familiarity with experimentation involving network effects.

Culture & Benefits

  • Remote-first working environment within the United States and Canada.
  • Medical, dental, vision, life, and disability insurance fully paid for US employees.
  • Equity, 401(k) with company matching, paid parental leave, and flexible paid time off.
  • Company holidays, summer and winter shutdown periods, and mental wellness and employee assistance programs.
  • Learning and development support, equipment and remote-work reimbursements, and connected-device perks.
  • Culture centered on integrity, direct communication, customer focus, and high-impact execution.

Hiring process

  • Applications are matched using an AI-powered screening process and shortlisted candidates are shared with the hiring company.
  • Interviews, assessments, and final hiring decisions are managed by the hiring company's internal team.

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