Principal Applied Scientist - Auction & Bidding

## About the role - Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory. - Designing, prototyping, and analyzing different auction mechanisms given specific product area. - Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning. - Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers' return on investment. - Implementing methods for optimizing the marketplace at the large scale. - Developing models for causal reasoning using techniques from AI, ML, and statistics. ## Requirements - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) - Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) - Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) - Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) - Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience. - 8+ years of experience developing and deploying live production systems, as part of a product team. - 3 Years of experience in Auto-Bidding or Auction Design.