Staff Data Scientist

What you'll do

• Translate ambiguous product questions into structured analysis and actionable recommendations for product, engineering, and design teams.
• Define and steward core product metrics to ensure consistent and trustworthy data across the organization.
• Design and execute end-to-end experiments while improving experimental rigor across various products.
• Build predictive, propensity, or segmentation models to drive specific product or marketing actions.
• Develop internal data products that leverage AI to scale the team's reach across the company.
• Collaborate with analytics engineers to maintain a consistent foundation for product metrics.

What we're looking for

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 10+ years of experience in data science, product analytics, or a similar quantitative role.
• Strong foundation in statistics and advanced experimentation techniques like CUPED, sequential testing, and heterogeneous treatment effects.
• Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling.
• Experience building segmentation and predictive models such as propensity, churn, and LTV.
• Fluency with AI-assisted and agentic workflows.
• MS or Ph.D. in a relevant technical field (preferred).
• Background in consumer product analytics for creative tools, SaaS, or subscription businesses (preferred).