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.

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) OR 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) OR 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) OR 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.