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Описание вакансии
Текст:
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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