About

David Mayett is a highly skilled Data Scientist with over 6 years of experience in algorithmic trading, NLP, computer vision, and adTech. He is currently working as a Data Science Manager at Twitter, leading the Ads Marketplace team responsible for the majority of Twitter's ad revenue. In just 6 months, David has grown the team from 7 to 15 members, leading the execution of every facet of the 2-sided marketplace. He has successfully managed notable projects such as the Smart PID controller for Budget Pacing, Second Price auction re-write, ML-based personalized ad load, and Auction tech debt re-write. Prior to his current role, David worked as a Sr. Data Scientist at Twitter, where he led the tactical and strategic execution of the Mobile App optimization objective. He developed an end-to-end ad serving funnel visibility, which led to the discovery of several inefficient filters across the whole serving stack. Additionally, he discovered a mismatch between advertiser bidding strategies and optimization setting, which led to an 11% revenue gain for the Mobile App Install objective. David holds a Doctor of Philosophy (Ph.D.) in Theoretical Physics from Syracuse University and a Bachelor's of Science in Physics from Florida International University. He has a diverse tech stack, including expertise in Data Science, Research Science, Computer Vision, NLP, Mobile, ML, and Senior Software Engineering. Overall, David is a highly skilled and experienced Data Scientist with a proven track record of delivering results in the adTech industry. He is a strong leader and has a passion for growing and developing teams to achieve their full potential.