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Mixpanel is seeking a Senior Data Scientist to join the newly formed Proactive Insights team, which is building an intelligent analytics layer that transforms Mixpanel from a query tool into a proactive partner. This is the first data scientist embedded in product engineering, responsible for championing cutting-edge data science techniques and serving as a methodological resource across the organization.
You will own the end-to-end analytical design for four core product features: Signals (causal inference to identify which user behaviors drive business outcomes), Forecasting (time-series modeling to project KPI trajectories), Simulation (causal impact modeling to estimate metric ripple effects), and Cohort Detection (automated identification of at-risk user segments). Your models form the reasoning layer behind an AI system that tells customers what changed, why, and what to do next—increasingly powering agentic experiences.
Key responsibilities include designing and validating causal inference approaches that move beyond correlation, building and owning time-series forecasting models, developing survival analysis and retention models, creating statistically sound clustering approaches for cohort detection, and establishing rigor around statistical significance and uncertainty quantification. You'll assess data quality prerequisites before extending features to customers, document methodology clearly for engineering implementation, and validate that production results match expected statistical behavior.
You'll partner closely with strong product engineers who own implementation, collaborate with AI platform and data infrastructure teams to scale solutions, and have significant influence over the analytical direction of a new product category. This is a high-impact, high-autonomy role on a small, fast-moving team with greenfield charter to build something transformative.
