Data Scientist, Product
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The role
Own end-to-end measurement and analytics for product features, defining north-star metrics and rigorous experimentation.
Design, run, and interpret A/B tests with clear success criteria, power calculations, guardrails, and post-experiment readouts.
Partner with Product, Design, and Engineering to improve instrumentation, data quality, and data-driven decision making across activation, engagement, retention, and revenue.
Build and maintain scalable analytical models and reproducible pipelines supporting full-funnel analytics.
Create executive-ready dashboards and visualizations to align stakeholders and drive action.
Embed with cross-functional teams throughout the product lifecycle to guide instrumentation and translate insights into measurable impact.
Design, run, and interpret A/B tests with clear success criteria, power calculations, guardrails, and post-experiment readouts.
Partner with Product, Design, and Engineering to improve instrumentation, data quality, and data-driven decision making across activation, engagement, retention, and revenue.
Build and maintain scalable analytical models and reproducible pipelines supporting full-funnel analytics.
Create executive-ready dashboards and visualizations to align stakeholders and drive action.
Embed with cross-functional teams throughout the product lifecycle to guide instrumentation and translate insights into measurable impact.
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