Назад
Company hidden
1 день назад

Staff Decision Scientist, Advanced Analytics

130 500 - 242 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Staff Decision Scientist, Advanced Analytics (Advanced Analytics/Python/SQL): Building and owning MAU forecasts, growth models, experimentation standards, and reusable causal inference methods for a family-focused consumer technology product with an accent on statistical rigor, forecasting accuracy, and interference-aware experimentation. Focus on designing scalable analytical standards, automating repeated analyses with AI workflows, and translating complex findings into decisions used for business planning.

Location: Remote within the United States and Canada.

Salary: $130,500–$242,500 USD for US-based candidates; CAD 180,500–214,000 for Canada-based candidates. Base pay may vary by geographic tier.

Company

hirify.global develops a mobile family-safety platform, Tile tracking devices, and Pet GPS trackers for location sharing, safe driving, crash detection, and related membership services.

What you will do

  • Own the MAU forecast and growth model in Python and SQL, decomposing MAU into registration, retention, and reactivation, tracking accuracy, and explaining forecast misses.
  • Set standards for experiment design and analysis, including power, metric selection, variance reduction, sequential testing, heterogeneous effects, and interference in shared-family products.
  • Advance the causal inference toolkit through methods such as difference-in-differences, synthetic controls, regression discontinuity, and instrumental variables, turning analyses into reusable approaches.
  • Define and document analytical standards, review analyses across operating groups, and collaborate with decision scientists, data scientists, analytics engineers, and data engineers.
  • Build AI agent workflows, templates, and tools to scale forecasts, experiment readouts, and causal analyses.
  • Mentor data scientists, lead reviews and internal talks, and translate complex findings into clear recommendations for leadership.

Requirements

  • 8+ years of experience in analytics, data science, or decision science at a consumer technology company.
  • Advanced degree in economics, statistics, quantitative social science, operations research, or equivalent practical experience.
  • Deep applied experience with causal inference methods, including difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, and propensity score matching.
  • Experience building and owning a forecast or growth model for a core business metric, including cohort- or component-based approaches.
  • Expertise in experiment design and analysis at scale, including variance reduction, sequential testing, and network effects or interference.
  • Experience with experimentation platforms such as Statsig, Optimizely, or similar.
  • Track record of setting analytical standards and mentoring other data scientists.
  • Proficiency in SQL and Python or R for statistical analysis.
  • Ability to apply methodological judgment, own analytical standards end to end, use AI tooling as a development partner, scale team practices, and influence without formal authority.

Nice to have

  • Experience with subscription or freemium business models.
  • Background in growth, retention, or lifecycle analytics.
  • Experience with Bayesian methods or probabilistic programming such as PyMC or Stan.
  • Experience with LTV modeling, incrementality testing, or marketing mix modeling.
  • Experience building internal tooling or AI agent workflows for analytics teams.
  • Experience building dbt models or contributing to analytics engineering workflows.
  • Familiarity with international or multi-market analytics.

Culture & Benefits

  • Remote-first work environment with equipment, tools, and reimbursement support for remote work.
  • Medical, dental, vision, life, and disability insurance; US employees receive medical, dental, and vision coverage fully paid.
  • 401(k) matching in the US and RRSP with DPSP in Canada.
  • Paid parental leave, flexible PTO, company holidays, and summer and winter shutdowns.
  • Mental Wellness Program, Employee Assistance Program, learning and development programs, and free hirify.global Platinum Membership and Tile trackers.
  • Values include integrity, direct communication with respect, prioritizing members, and high-intensity, high-impact work.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →