Data Scientist Business and Product

You will own the testing roadmap, analytics instrumentation, data pipeline, KPI reporting, and analytical deep dives. You will design experiments, conduct causal analysis, build telemetry with engineers, analyze pricing and conversion, and provide statistically grounded recommendations for product and business decisions.

Responsibilities

• Own the company-wide testing roadmap
• Design and analyze experiments
• Manage a multi-test pipeline
• Conduct causal analysis when A/B tests are not possible
• Define analytics instrumentation strategy
• Own KPI collection and reporting
• Work with engineers to build telemetry and data scaffolding
• Analyze pricing, willingness to pay, price elasticity, and offers
• Inform advertising, subscription pricing, conversion, and product decisions
• Publish industry and brand thought leadership

Requirements

• 3 to 5 years of product analytics experience or a master's degree in statistics or a related field
• Statistics
• Regression
• Experimental design
• Causal inference
• SQL
• Python
• R
• Event-level data
• Data warehouse
• BigQuery
• Snowflake
• Airflow
• Amplitude
• Tableau
• CI/CD
• AI
• Communication
• Storytelling
• UX research

Benefits

• Equity
• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Fertility benefits
• Parental benefits
• Generous PTO
• Daily meals
• Wellness benefits
• Commuter benefits
• Learning and development stipend