This role involves building and owning data infrastructure, analyzing product usage and user behavior, developing models, defining and tracking critical metrics, running experiments, and transforming data insights into actionable product convictions. It requires strong technical skills in data science, data engineering, and analytics, along with a clear communication ability.
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