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Strong brand, mid-level generalist role, metro location, and broad skill requirements increase competition.
Product-focused data science skills are moderately transferable across industries but favor consumer and AI-product experience.
Explicit 4+ years requirement plus mandatory SQL/Python and statistics make screening moderately strict.
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Own analysis of user behavior, product usage, and business metrics to deliver actionable insights.
Define and maintain key product metrics, dashboards, and conduct A/B experiments to inform product decisions.
Collaborate across Product, Engineering, AI, and Growth teams to measure and improve AI agent quality and user metrics like activation, retention, and engagement.
4+ years of experience in Product Data Science, Analytics, or related role.
Proficient in SQL and Python with experience handling large datasets.
Strong understanding of statistics, experimentation, and data modeling.
Experience with BI tools such as Looker, Tableau, or Metabase.
Experienced in fast-paced, high-ownership environments indicative of startup or high-growth contexts.
Capable of translating complex data analyses into clear, actionable recommendations that influence product strategy.
Familiarity or experience with AI/LLM product data science is a plus but not mandatory.