# Senior Data Scientist, AI Product Insights

**Company**: Mixpanel
**Location**: San Francisco, US
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $226,000-$266,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/mixpanel/jobs/8115028?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_314c0467-cb3

## Description

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

## Skills

### Required
- Python
- statistical modeling
- causal inference
- survival analysis
- time-series forecasting
- clustering
- SQL

### Nice to have
- large-scale behavioral event data
- feature engineering
- structural equation modeling
- offline batch analyses
- production codebase
- analytics platform

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/mixpanel/jobs/8115028?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)