Data Scientist, Product
Core
Data scientist driving product strategy, growth, and retention by analyzing user behavior, designing experiments, and building predictive models for a developer platform.
Role type
Senior Product Data Scientist
Builds
Actionable insights for product roadmap, growth strategies, and enterprise expansion for Replit's self-serve and enterprise segments.
Domain
Developer tools / SaaS / Product Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, pandas, scikit-learn, statsmodels, A/B testing design, causal inference, ETL workflows, dbt, large-scale event data analysis
Preferred skills
PLG funnel experience, modern data stack (BigQuery, Snowflake, Amplitude, Mixpanel), difference-in-differences, propensity score matching, AI tooling for analytics
Technologies
dbt, BigQuery, Snowflake, Fivetran, Amplitude, Mixpanel, Segment, Python, SQL
Responsibilities
Design and analyze product experiments (A/B tests) for feature launches and onboarding; Own analytics for growth, retention, and feature adoption; Build predictive models to forecast user behavior and feature impact; Analyze enterprise team adoption patterns to inform go-to-market strategy.
Seniority
Senior, hands-on IC