Data Scientist

We're redefining how software is built and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. You'll directly impact Replit's growth by turning user behavior into actionable insights that shape product strategy, improve activation and retention, and drive sustainable revenue growth across our self-serve and enterprise segments.

• Design and analyze product experiments to evaluate feature launches, onboarding changes, and in-product interventions with rigorous statistical methodology.
• Own the analytics for core product areas — Growth (activation, engagement, monetization & retention), feature adoption, product quality, AI agent effectiveness, and proactively surface insights that influence product roadmap decisions.
• Build the analytical foundation for Replit's enterprise business, understanding team adoption patterns, workspace collaboration dynamics, and expansion signals that inform go-to-market and product strategy.
• Develop predictive models to forecast frameworks to measure impact of features and new launches on user behavior, including likelihood to retain, convert, or expand, and embed those signals directly into product and growth workflows.

You're a data scientist who moves fast and goes deep. You can spin up an analysis in hours that would take others days. You treat experimentation as a craft, not a checkbox. You use AI agents and tools aggressively to multiply your output, but you treat every AI-assisted output as a draft, not a deliverable.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
• 5+ years of experience in data science with a focus on product analytics, growth, or user behavior.
• Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt.
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
• Experience designing and analyzing A/B tests and experiments, including rigor around sample sizing, power analysis, significance testing, novelty effects, interference between experiments, and causal inference.
• You leverage AI tools extensively in your own analytical workflow.

• Experience at a PLG company with a self-serve funnel and freemium or usage-based pricing model.
• Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.) and product analytics platforms (Amplitude, Mixpanel, Segment, etc.).
• Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).
• Experience designing ETL workflows and data pipelines using dbt or similar tools.

• You've built or contributed to AI-powered analytical tools, automation, or novel measurement approaches.
• Experience analyzing freemium or usage-based pricing models.
• Understanding of developer tools, collaborative coding environments, or technical products.
• Experience working directly embedded with product teams in an agile environment.
• Familiarity with customer data platforms (CDPs) and event tracking implementation.

Base salary for this role ranges from $210K – $350K, with equity offered. Full-time employee benefits include: competitive salary & equity, 401(k) program with a 4% match (US only), health, dental, vision and life insurance, short term and long term disability, paid parental, medical, caregiver leave, flexible time off (FTO) + holidays, commuter benefits (in-office & US only), monthly wellness stipend, autonomous work environment, in-office setup reimbursement (in-office only), quarterly team gatherings, and in-office amenities (in-office only).

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.