Founding Data Scientist; Analytics

Requirements

• 3+ years of experience in product data science, analytics, or a related role
• Very proficient with Python, SQL, and Pandas
• Strong foundation in statistics, experimentation, and causal inference
• Deep understanding of AI-powered products, including model performance, cost and speed tradeoffs
• Ability to translate business and product questions into rigorous analyses
• High ownership mindset with a bias toward action, learning, and iteration
• Comfort working in fast‑moving, ambiguous, 0-1 environments
• (Desirable) Experience working closely with ML or research teams
• (Desirable) Experience with Databricks (PySpark) and Amplitude

• We’re looking for a Product Data Scientist who can dig into user behavior and product performance, run experiments, and build dashboards that reveal how customers use our web, API, and ML-powered products
• You’ll help teams make smarter product decisions, improve engagement and retention, and ensure our models deliver real value in production
• Analyze user behavior across web and API products to uncover insights and growth opportunities
• Define, own, and evolve core product metrics (e.g. activation, engagement, retention, accuracy)
• Design and analyze experiments to evaluate product changes and inform decisions
• Build dashboards and self‑serve analytics to support product and business decisions
• Work with ML engineers to evaluate model performance in real‑world product contexts
• We’re a small team. We value ownership, transparency, and listening to each other
• Everyone works and interacts with everyone. Everyone is free to attend meetings across product functions, whether it's diving into designs or dropping into our ML learning groups
• Here are some people you’ll work closely with. You’ll be meeting everyone
• Edward (CEO), data‑powered investigative journalism at BBC and Bellingcat, threat intelligence at Microsoft, ML researcher at Princeton
• Alex (CTO), Ph.D. dropout, R&D at Uber self‑driving and Facebook, 3 patents in ML, 2021 and 2019 Best ML Hack at Stanford
• Hriday (Growth Lead), expert on taking products viral. Founded Wildfire, raised $3M, scaled it to 1M users and exited to Opendoor. Most recently, he worked on growth at Perplexity
• Jacob (Full Stack), top of class at Waterloo, ex-Affirm, Lime, Level and Zynga
• Midhun (Full Stack), former India lead at Angelist, former co‑founder of Nuance, Ex-Intuit/Bloomberg