Data Science Director IC, Monetization AI Ranking Responsibilities:

• Partner with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy as well as investment decisions for the Ads AI space
• Contribute to long-term technical vision and strategy on analytics methods and metrics that will improve the quality and efficiency of Ads AI at scale
• Work with engineering and other data scientists to build and improve AI development, AI automation, experimentation and measurement methods and metrics, ensuring high-quality throughput and impact
• Develop understanding of complex and large scale AI development, experimentation and measurement system, as well as broader industry challenges, to identify present and future risks and opportunities
• Inspire, lead and grow a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers
• Intellectual curiosity and drive, decisiveness, comfort with ambiguity and complexity

Minimum Qualifications:

• Bachelors/Masters in a quantitative discipline (e.g., AI, statistics, operations research, econometrics, computer science, engineering) with 10 years (or PhD with 8 years)
• 6 years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
• Knowledge to work effectively with multiple stakeholders and cross-functionally, including Engineering, PM/TPM, Analytics and Finance
• Effective framing and communication skills

Preferred Qualifications:

• Experience working on large scale AI systems from the aspect of ML technology, automation, A/B testing platforms, AI infrastructure and operationalization
• Ads business and product experience

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