Staff Data Scientist - Product
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Le poste
Lead ambiguous product analytics problems by designing scalable analysis frameworks across domains.
Partner with product, engineering, design, and operations to proactively identify opportunities and guide data-informed decisions.
Apply advanced statistics, causal inference, experimentation, and AI-assisted analytics to uncover drivers of product performance.
Design, analyze, and interpret experiments; clearly communicate trade-offs and limitations based on sample size and data quality.
Deliver multiple high-impact projects with well-defined deliverables and timelines, while improving data quality and adoption of new tooling.
Mentor teammates and raise the bar for data science craft across the organization through best practices and scalable workflows.
Partner with product, engineering, design, and operations to proactively identify opportunities and guide data-informed decisions.
Apply advanced statistics, causal inference, experimentation, and AI-assisted analytics to uncover drivers of product performance.
Design, analyze, and interpret experiments; clearly communicate trade-offs and limitations based on sample size and data quality.
Deliver multiple high-impact projects with well-defined deliverables and timelines, while improving data quality and adoption of new tooling.
Mentor teammates and raise the bar for data science craft across the organization through best practices and scalable workflows.
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VilleHybrid (Denver, SF, NYC), USA