M
$216,000 – $254,000
Listed on Mixpanel’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role is for a Data Scientist to build the analytical foundation of Mixpanel's new AI-driven insights product, designing causal inference models, forecasting pipelines, and retention analyses that customers can trust. You'll partner closely with engineers to turn rigorous statistical methodology into production features that proactively answer what changed in users' data, why it happened, and what to do next.
Our summary, not Mixpanel’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- MS or PhD in Statistics, Economics, Mathematics, or related quantitative field, or equivalent industry experience with demonstrated causal inference expertise
- 5+ years applying statistical modeling to product or business problems
- Hands-on causal inference experience with judgment to select appropriate methods
- Survival analysis or retention modeling experience
- Strong Python fluency across analytical libraries
- Time-series forecasting experience with classical or modern methods
- Clustering and similarity methods for behavioral data
- Ability to communicate statistical concepts clearly to non-technical stakeholders
- SQL fluency for data access and validation
- Comfort balancing analytical rigor with practical product delivery
Nice to have
- Experience with large-scale behavioral event data in product analytics or growth domains
- Feature engineering from raw event streams
- Structural equation modeling or causal DAGs for multi-metric impact modeling
- Knowledge of productionizing offline batch analyses
- Ability to work directly in production codebases with engineers
- Experience at analytics, observability, or growth platforms
- Experience evaluating LLM-generated explanations against statistical outputs
- Familiarity with AI coding tools like Claude Code or Cursor