Apply modeling and machine learning techniques to business problems at the intersection of product and data science; Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation; Proactively perform data exploration on engagement behaviors to discover future opportunities; Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale; Deliver well-documented datasets, tools, and reports to key technical and business partners
Requirements:
Experience building and leading hybrid Data Science and MLE teams in the Ads space; Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations
Text:
Data Scientist - Ads Apply modeling and machine learning techniques to business problems at the intersection of product and data science; Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation; Proactively perform data exploration on engagement behaviors to discover future opportunities; Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale; Deliver well-documented datasets, tools, and reports to key technical and business partners Experience building and leading hybrid Data Science and MLE teams in the Ads space; Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations
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