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 partners with product engineers to embed statistical rigor into Mixpanel's AI-driven analytics platform, designing causal inference methods and forecasting models that power features like automated signal detection and KPI projection. The position suits experienced data scientists who combine deep statistical expertise with the ability to communicate complex methodology to non-technical teams and see it through to production.
Our summary, not Mixpanel’s wording. The full posting is on their site.
Skills this role names
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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
- Python fluency across analytical stack
- Time-series forecasting experience with classical and modern methods
- Clustering and similarity methods for behavioral data
- Strong statistical communication skills
- SQL fluency for data exploration and validation
- Comfort balancing analytical rigor with practical delivery in a product environment
Nice to have
- Large-scale behavioral event data experience
- Feature engineering from raw event streams
- Structural equation modeling or causal DAGs knowledge
- Knowledge of productionizing offline batch analyses
- Direct experience in production codebases with engineers
- Analytics, observability, or growth platform background
- Experience evaluating LLM-generated explanations against statistical outputs
- Comfort with AI coding tools like Claude Code or Cursor