Senior Data Scientist, Product
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The role
Drive product growth by performing deep-dive analyses to identify opportunities and improve core business metrics.
Design, plan, implement, and analyze A/B experiments and causal-inference studies to evaluate product changes.
Define and maintain key product performance metrics; build scalable dashboards to monitor performance and inform decisions.
Develop compelling data visualizations and narratives to communicate insights to cross-functional partners and leadership.
Lead large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable impact.
Collaborate with Product, Engineering, Operations, and other teams to embed data-driven decision-making and foster a data-informed culture; require advanced analytical skills and hands-on DS/ML experience (Python/SQL, ML, statistics).
Design, plan, implement, and analyze A/B experiments and causal-inference studies to evaluate product changes.
Define and maintain key product performance metrics; build scalable dashboards to monitor performance and inform decisions.
Develop compelling data visualizations and narratives to communicate insights to cross-functional partners and leadership.
Lead large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable impact.
Collaborate with Product, Engineering, Operations, and other teams to embed data-driven decision-making and foster a data-informed culture; require advanced analytical skills and hands-on DS/ML experience (Python/SQL, ML, statistics).
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