The opportunity
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
What you'll do
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.
Design and analyze a complex multi-variant experiment testing pricing,: onboarding, and feature gating simultaneously, navigating interaction effects and providing clear recommendations despite ambiguity.
Model the "aha moment" for new Replit users: identifying early behaviors most predictive of long-term retention — and work with the product team to redesign onboarding around those signals.
What they're looking for
- Analyze feature adoption and cohort behavior across user segments (students,: hobbyists, professional developers, enterprise teams) to help PMs prioritize the roadmap with confidence.
- Analyze enterprise team adoption patterns to identify what drives successful: rollouts versus stalled deployments, and build the data models that power Replit's enterprise expansion playbook.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or: related field, OR equivalent real-world experience in data roles.
- + years of experience in data science with a focus on product analytics, growth, or user behavior.