Data Scientist

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. About the Role Replit is redefining how software is built and who gets to build it. Our mission is Autonomy for All — making programming accessible, collaborative, and powered by AI. This role owns how Replit understands its customers across every touchpoint. You'll build the analytics and intelligence layer that spans marketing performance, customer signals, and support — turning massive volumes of behavioral data, feedback, and interaction signals into insights that drive growth, retention, and revenue. This isn't a traditional marketing analytics seat. You'll work across paid and organic channels, lifecycle marketing, customer feedback, social signals, and support data — and you'll use AI to do it at a scale that would be impossible manually. You'll build agents and automated systems that deliver insights directly to the teams that need them, not just dashboards that sit untouched. You will: Design and analyze marketing experiments across paid, lifecycle, and content channels; optimize CAC, LTV, and ROAS Build multi-touch attribution and marketing mix models to understand what's driving growth Synthesize customer signals — support tickets, social, reviews, CSAT — into automated intelligence that reaches the teams who need it Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies Define and maintain customer segmentations and personas that drive targeting, messaging, and product decisions Build the analytical foundation for Voice of the Customer — connecting qualitative feedback signals to quantitative behavior data at scale Detect emerging product issues and bugs faster by surfacing support signal early enough to shape engineering priorities Optimize automation and de