Data Scientist: Product

📋 Description

• Partner with Product and Operations to answer important questions and inform product priorities
• Define and own product metrics, from company-wide success measures to feature-level performance
• Analyze user journeys, engagement, and operational data to uncover friction and opportunities
• Design and evaluate experiments to measure the impact of product changes
• Build and maintain dbt models, metrics, dashboards, and analytical tools that teams rely on
• Improve data quality, instrumentation, and self-serve analytics

🎯 Requirements

• Experience using analytics, data science, and experimentation to influence product decisions
• Strong SQL skills and experience with dbt or similar data transformation tools
• Experience building analytical data models and dashboards using BI or visualization tools
• Proficiency in Python for analysis, experimentation, or statistical modeling
• Strong product judgment and the ability to turn complex findings into clear, actionable
• Comfortable working independently, navigating ambiguity, and partnering across teams