Data Scientist, Product

About the role

Replit is building an AI‑powered platform that lets anyone create software using natural language. As a Data Scientist on the Product team you will turn user behavior into actionable insights that drive growth, activation, retention and revenue across both self‑serve and enterprise segments.

Key responsibilities

• Design and analyze product experiments, including complex multi‑variant tests, using rigorous statistical methods.
• Own analytics for core product areas such as growth, feature adoption, AI agent effectiveness and enterprise usage.
• Build predictive models to forecast retention, conversion and expansion signals and embed them into product workflows.
• Develop the analytical foundation for Replit’s enterprise business, informing go‑to‑market and product strategy.

Required profile

• 5+ years of data science experience focused on product analytics, growth or user behavior.
• Strong intuition and technical toolkit to deliver high‑quality analysis quickly.
• Experience with A/B testing, causal inference and handling novelty effects.
• Comfortable using AI tools to augment analysis while maintaining rigorous standards.

Required skills

• SQL (large event‑level datasets)
• Python with pandas, scikit‑learn, statsmodels
• dbt for ETL workflow design
• BigQuery, Snowflake, Fivetran
• Product analytics platforms: Amplitude, Mixpanel, Segment

What we offer

• Competitive salary and equity
• 401(k) with 4% match (US only)
• Health, dental, vision and life insurance
• Flexible time off and remote work days
• Commuter benefits, wellness stipend and office amenities