Staff Product Data Scientist
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The role
Apply advanced data science techniques to analyze product usage patterns and identify opportunities for improvement.
Partner with Product, Design, and Engineering to shape the product roadmap, define success metrics, and guide iterative development.
Conduct evidence-based evaluations to isolate drivers of product growth and synthesize cross-domain insights.
Define and report key success metrics for executive decision-making and scalable impact across the product organization.
Serve as a domain expert in product data science, advancing methodologies, governance, and scalable data operations.
Requires 5+ years of experience, proficiency in Python or R, and hands-on experience with large-scale data tools (e.g., Spark, Presto, Hive, Hadoop) and Airflow; strong communication and cross-functional collaboration skills.
Partner with Product, Design, and Engineering to shape the product roadmap, define success metrics, and guide iterative development.
Conduct evidence-based evaluations to isolate drivers of product growth and synthesize cross-domain insights.
Define and report key success metrics for executive decision-making and scalable impact across the product organization.
Serve as a domain expert in product data science, advancing methodologies, governance, and scalable data operations.
Requires 5+ years of experience, proficiency in Python or R, and hands-on experience with large-scale data tools (e.g., Spark, Presto, Hive, Hadoop) and Airflow; strong communication and cross-functional collaboration skills.
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