Analyze user behavior across web and API products to uncover insights and growth opportunities
Define, own, and evolve core product metrics (e.g. activation, engagement, retention, accuracy)
Design and analyze experiments to evaluate product changes and inform decisions
Build dashboards and self‑serve analytics to support product and business decisions
Work with ML engineers to evaluate model performance in real‑world product contexts

Requirements

3+ years of experience in product data science, analytics, or a related role
Very proficient with Python, SQL, and Pandas
Strong foundation in statistics, experimentation, and causal inference
Deep understanding of AI-powered products, including model performance, cost and speed tradeoffs
Ability to translate business and product questions into rigorous analyses
High ownership mindset with a bias toward action, learning, and iteration
Comfort working in fast‑moving, ambiguous, 0 → 1 environments

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLPandasstatisticsexperimentationcausal inferencedata analysisdashboard buildingself-serve analyticsmodel performance

Soft Skills

ownership mindsetbias toward actionlearningiterationability to translate business questionscomfort in ambiguityadaptabilityproblem-solvingcollaborationcommunication