Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$131к-243к/год
$140к$200кмедиана$230к
По похожим ролям (48) ~ $200к/год
На СНГ рынке: $4.2к/мес ($3.2к - $4.4к)
90
Отличная вакансия
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Четко определенная роль с высоким уровнем ответственности, фокусом на методологической строгости и современным AI-native подходом к аналитике.
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Современный стекЧеткие обязанностиВысокий потенциал роста
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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