Senior Data Scientist, AI Product Insights

Own the end-to-end analytical design for Signals, Forecasting, Simulation, and Cohort Detection — including methodology selection, statistical validation, and iteration based on results.

Assess data quality and trust prerequisites before extending forecasting or predictive features to customers — a model is only as trustworthy as the data…

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 — extending our existing use of TimesFM into customer-facing forecasting features.

Preferred: experience working with large-scale behavioral event data (product analytics, growth, or similar domains).

Preferred: familiarity with feature engineering from raw event streams.

Preferred: experience with structural equation modeling or causal DAGs for multi-metric impact modeling (directly applicable to Simulation).

Preferred: familiarity with how offline batch analyses are productionized, even if you're not implementing them yourself.