Manager II, Science - Ads Delivery & Optimization

Manager II, Science - Ads Delivery & Optimization Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** The Uber Ads & Offers team builds consumer products that connect our eaters and riders to relevant businesses in engaging and delightful ways. We also build tools to help merchants, large and small, generate demand via Ads and Offers to grow their businesses. Ads is one of the fastest growing lines of businesses at Uber. Every day thousands of advertisers use our Advertising platform to reach users on the Uber platform to help grow their businesses. As a Science Manager for the Ads Delivery & Optimization team, you will play a pivotal role in shaping the future of Ads at Uber. Partnering closely with Engineering and Product leadership, you will drive the strategic vision and execution of Ads delivery-related product development (e.g. auction, pacing, bidding, ranking). You will lead a team of Scientists designing and implementing new algorithms to make our Ads system more efficient and performant. We are looking for experienced candidates, who have had experience building Ads systems to help accelerate our team and product growth. **What You'll Do** - Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact. - Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges. - Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance Ads relevance, ranking, bidding, pacing, and overall user experience. - Leverage data-driven insights and algorithmic expertise to guide the team’s direction and balance short-term execution with long-term innovation. - Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability. **Basic Qualifications** - Ph.D., M.S. or Bachelors degree in Economics, Operations Research, Statistics, Mathematics, or other quantitative fie