Requirements

• A product-minded data scientist who owns a product area's outcomes
• Build systems for instrumentation, metrics, and insight generation
• Proficiency in SQL, Python, applied statistics, and experimentation
• Deep understanding of user behavior and metrics
• Comfortable making quick decisions with quality and rigor
• Entrepreneurial mindset with autonomy and ambiguity

What you'll be doing

• Own the metrics and funnels for a product area to drive improvement
• Identify user behavior opportunities and turn them into product bets
• Design and run experiments and act on the results
• Build instrumentation and models for the product team
• Maintain trustworthy data quality, definitions, and lineage

Our tech stack

• Languages: SQL and Python
• Warehouse & events: BigQuery, PubSub
• Analytics & product: Hex, Lovable Apps
• Experimentation: A/B and growth testing
• Cloud: GCP