Назад
18 часов назад

Founding Data Scientist (Growth)

250 000 - 327 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Founding Data Scientist (Growth): Building experimentation, growth analytics, personalization, and recommendation measurement for an agentic software creation platform with an accent on experimental design, statistical inference, and freemium monetization. Focus on designing trustworthy short-cycle experiments, applying quasi-experimental methods, modeling retention and revenue proxies, and developing behavioral segmentation.

Location: Foster City, California, United States; hybrid with in-office work required on Monday, Wednesday, and Friday

Salary: $250K–$327K annually, plus equity

Company

Replit is an agentic software creation platform that enables people to build applications using natural language.

What you will do

  • Own data science for growth areas across acquisition, activation, and recommender systems.
  • Design experiments, metrics, guardrails, and statistical checks for high-traffic product surfaces.
  • Apply variance reduction, sequential testing, and short-term proxy metrics to support fast and reliable decisions.
  • Use quasi-experimental methods for pricing changes and regional launches when randomization is not feasible.
  • Define personalization and recommendation evaluation, including offline and online measurement of incremental lift.
  • Model freemium product economics, develop behavioral and content-based segmentation, and partner with Data Engineering on metrics and experimentation tooling.

Requirements

  • 6+ years of data science experience, including significant growth or experimentation work for high-scale prosumer, product-led growth, or self-serve products.
  • Experience building metrics, datasets, and experimentation practices at a fast-growing startup with limited existing infrastructure.
  • Deep expertise in experimental design and statistical inference, including decisions based on short readout windows and delayed outcomes.
  • Experience establishing experimentation standards or platforms adopted by multiple teams.
  • Expert SQL and Python skills.
  • Experience influencing senior Product and Engineering leaders and using AI tools extensively in daily work.

Nice to have

  • Experience building datasets in dbt.
  • Pricing, packaging, or monetization analysis for usage- or credit-based products.
  • International or mobile growth experience.
  • MS or PhD in statistics, economics, computer science, or another quantitative field.
  • Experience with multi-armed bandits, adaptive experimentation, developer tools, AI products, or creator platforms.

Culture & Benefits

  • Full-time employee role with an autonomous work environment.
  • Competitive salary and equity.
  • Health, dental, vision, life, disability, parental, medical, and caregiver benefits.
  • 401(k) program with a 4% match, available in the US.
  • Flexible time off, holidays, commuter benefits, wellness stipend, and in-office setup reimbursement.
  • Quarterly team gatherings and in-office amenities.

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