Senior Product Data Scientist

4+ years of experience in Data Science, Product Analytics, or a closely related role. Proven, hands-on experience designing and analyzing A/B tests. Strong understanding of experimental design, statistics, and causal inference. Deep experience analyzing user funnels, cohorts, and customer journeys. Fluency in SQL and high proficiency in Python or R. Experience building compelling dashboards and data visualizations. Strong business acumen. Excellent communication skills.

Own product analytics and experimentation for consumer-facing products. Design, execute, and analyze A/B and multivariate experiments. Partner with Product Managers to define hypotheses and success metrics. Conduct deep-dive analysis on user behavior and funnels. Translate analytical findings into actionable recommendations. Develop and maintain key product KPIs and dashboards. Ensure accurate event tracking and data instrumentation. Build analytical models or ML solutions where appropriate. Act as a data leader within product teams. Support ad-hoc analyses and strategic deep dives.