Senior Data Scientist, AI Product Insights

What you'll do

• Own analytical design, methodology selection, statistical validation, and iteration for Signals, Forecasting, Simulation, and Cohort Detection.
• Build causal inference, time-series forecasting, survival, retention, and behavioral similarity models, and verify that production results behave as expected.
• Document methods and communicate findings to Product and Engineering; collaborate across teams to ensure outputs reflect business outcomes.

What they ask for

• MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field, or equivalent industry experience with demonstrated causal inference expertise.
• Hands-on causal inference experience and experience applying statistical modeling to real-world product or business problems.
• Experience with survival analysis or retention modeling, time-series forecasting, and clustering or similarity methods applied to behavioral or user data.
• Strong Python and SQL fluency; ability to communicate statistical concepts clearly.

Nice to have

• Experience with large-scale behavioral event data, raw event streams, or productionizing offline batch analyses.
• Experience evaluating LLM-generated explanations or recommendations against statistical outputs; familiarity with AI coding tools such as Claude Code or Cursor.

Pay

$216,000 — $254,000 USD total target cash compensation (includes base compensation and variable compensation).

Tools

Python, statsmodels, scikit-learn, pandas, SQL, ARIMA, TimesFM, Chronos

AI focus

Builds the statistical reasoning layer for AI-driven proactive insights and increasingly agentic experiences; partners on translating model outputs, often via LLMs, into natural-language recommendations and may evaluate their grounding and consistency.