March 20
🏢 In-office - San Francisco
• Take ownership of designing, researching, building, and delivering data products • Deep strategic analysis to assess trade-offs and evaluate impact • Opportunity sizing and analysis • Build segmentation models and inform pricing strategy • Improve decision velocity and quality using data scientist techniques • Track success metrics and identify measures of success • Lead and mentor data scientists in the same area
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data • Strong fundamentals in statistics and experimentation • Domain knowledge in ecosystem, ads, or real-time-bidding • Proven ability to apply scientific methods to solve real-world problems on web-scale data • Proficiency in SQL/Hive/Python
• US based applicants only • Base salary range: $145,258 - $254,024 USD • Equity eligibility • Final salary based on factors like location, relevant experience, and skills
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