About the company
Mixpanel is a product intelligence and analytics platform trusted by more than 29,000 companies.
Responsibilities
- Own the end-to-end analytical design for Signals, Forecasting, Simulation, and Cohort Detection — methodology selection, statistical validation, and iteration
- Assess data quality and trust prerequisites before extending forecasting or predictive features
- Design and apply causal inference methods to establish which user behaviors drive downstream business outcomes
- Build and own time-series forecasting models that project KPI trajectories against goals, extending existing use of TimesFM
- Build survival analysis and retention models that underpin Signals and Simulation outputs
- Develop clustering and behavioral similarity approaches for Cohort Detection
- Document methodology clearly, including assumptions, validation approaches, and expected output behavior
- 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 Finance and Data Science to ground analytical outputs in real business outcomes
- Communicate findings and methodology clearly to Product and Engineering
Requirements
- MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field, or equivalent industry experience with demonstrated causal inference expertise
- 5+ years of experience applying statistical modeling to real-world product or business problems
- Hands-on causal inference experience — propensity score matching, regression
Conditions
- Hybrid in San Francisco, US