Назад
5 дней назад

Product Data Scientist (AI)

210 000 - 350 000$
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
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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