About the role
TL;DR - We are looking for a data scientist to build Lovable's data and analytics muscle. You'll work cross-functionally across all teams to level up our understanding of users, uncover opportunities and empower everyone with the insights they need for data-driven decision making. Must combine analytical rigor with the ability to turn complex data into winning product bets.
What we’re looking for
A business-minded data scientist who's excited to level up our analytics efforts: metrics frameworks, behavioral models, and hypothesis testing
Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights
Deep curiosity about user behavior and what actually drives growth and retention
Ability to move between exploratory analysis, building behavioral models, hypothesis testing, and strategic recommendations
What you’ll do
Work closely with growth, product, and marketing to identify key levers in the customer journey
Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions
Build dashboards, alerts, and automated reporting to keep the team informed and aligned
Design and analyze experiments (A/B tests, growth tests) to understand, impact and inform strategy
Monitor data quality and collaborate with engineering to maintain reliability
Leverage AI tools and automation to scale your analysis and focus on high-impact questions
Translate data into clear, actionable narratives that drive product and business decisions
Our tech stack
We're building with tools that both humans and AI love:
Frontend: React
Backend: Golang and Rust
Cloud: Cloudflare, GCP, AWS, Many LLM providers
DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform)
And always on the lookout for what's next!