Senior Data Scientist, AI Product Insights

As a Senior Data Scientist, AI Product Insights at Mixpanel, you will champion integrating cutting-edge data science techniques into Mixpanel's products and serve as a methodological resource for cross-functional teams.

The Proactive Insights team is a newly formed team at the center of Mixpanel's AI-first analytics vision, building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you.

Responsibilities:

• Own the end-to-end analytical design for Signals, Forecasting, Simulation, and Cohort Detection
• Assess data quality and trust prerequisites before extending forecasting or predictive features to customers
• Design and apply causal inference methods to move beyond correlation and establish which user behaviors genuinely drive downstream business outcomes
• Build and own time-series forecasting models that project KPI trajectories against goals
• Build survival analysis and retention models that underpin Signals and Simulation outputs
• Develop clustering and behavioral similarity approaches for Cohort Detection
• Document methodology clearly
• Review and validate that production results match expected statistical behavior
• Establish rigor around statistical significance, multiple testing correction, and uncertainty quantification
• Work cross-functionally with internal stakeholders
• Communicate findings and methodology clearly to Product and Engineering

Requirements:

• MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field
• 5+ years of experience applying statistical modeling to real-world product or business problems
• Hands-on causal inference experience
• Experience with survival analysis or retention modeling
• Strong Python fluency
• Experience with time-series forecasting methods
• Experience with clustering and similarity methods
• Strong statistical communication
• SQL fluency

Nice to Have:

• Experience working with large-scale behavioral event data
• Familiarity with feature engineering from raw event streams
• Experience with structural equation modeling or causal DAGs
• Familiarity with how offline batch analyses are productionized
• Comfort working directly in a production codebase
• Experience at an analytics, observability, or growth platform