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Описание вакансии
Текст:
TL;DR
Product Data Scientist (AI): Designing rigorous product experiments and predictive models to improve activation, retention, monetization, feature adoption, and enterprise expansion with an accent on user behavior analytics, causal inference, and AI-assisted analysis. Focus on modeling Replit's user aha moment, analyzing complex multi-variant experiments, and embedding behavioral signals into product and growth workflows.
Location: Foster City, California, United States. Hybrid role with an in-office requirement on Monday, Wednesday, and Friday.
Base salary: $210,000–$350,000 per year, plus equity.
Company
Replit is an AI-powered software creation platform that enables users to build applications using natural language.
What you will do
- Design and analyze product experiments for feature launches, onboarding changes, pricing, and in-product interventions.
- Own analytics for growth, activation, engagement, monetization, retention, feature adoption, product quality, and AI agent effectiveness.
- Build analytical foundations for the enterprise business by studying team adoption, collaboration dynamics, rollout success, and expansion signals.
- Develop predictive models that forecast retention, conversion, expansion, and the impact of new features.
- Identify early user behaviors that predict long-term retention and use the findings to improve onboarding.
- Analyze cohorts and user segments to support product roadmap and go-to-market decisions.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field, or equivalent real-world experience.
- 5+ years of experience in data science focused on product analytics, growth, or user behavior.
- Strong SQL skills, experience with large event-level datasets, and proficiency in Python and data science libraries.
- Experience designing ETL workflows with dbt and working with modern data stack or product analytics tools.
- Experience with A/B testing, sample sizing, power analysis, significance testing, novelty effects, experiment interference, and causal inference.
- Ability to work from the Foster City, California office on Monday, Wednesday, and Friday.
Nice to have
- Experience at a product-led growth company with self-serve, freemium, or usage-based pricing.
- Experience with causal inference methods such as difference-in-differences, synthetic control, and propensity score matching.
- Experience building AI-powered analytical tools, automation, or novel measurement approaches.
- Understanding of developer tools, collaborative coding environments, customer data platforms, and event tracking.
- Experience working directly with product teams in an agile environment.
Culture & Benefits
- Full-time employment with competitive salary and equity.
- 401(k) program with a 4% match for US employees.
- Health, dental, vision, life, disability, parental, medical, and caregiver benefits.
- Flexible time off, holidays, a monthly wellness stipend, and commuter benefits for in-office US employees.
- Autonomous work environment, quarterly team gatherings, in-office setup reimbursement, and office amenities.
Hiring process
- The posting does not specify the interview stages or assessment format.
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