Data Scientist, Research, Measurement and Optimization, YouTube Ads

Join YouTube's Ads team as a Data Scientist focused on making every advertiser successful through reliable and scalable infrastructure and innovative direct response products. This role combines engineering, machine learning, and investigative work to solve complex bidding optimization problems. You'll work with a multi-disciplinary team to evaluate and improve Google's products using scientific and statistical methods. The position requires strong analytical skills to identify problems and solutions, plus expertise in statistical modeling for bidding metrics. The role offers competitive compensation ($141,000-$202,000) plus benefits and equity, and is based in Mountain View, CA. You'll collaborate with engineers and analysts, bringing quantitative expertise to product development while considering end-user behavior. The team's work involves building offline and serving infrastructure, creating new direct response products, and tackling sophisticated bidding optimization challenges. This is an opportunity to make a significant impact on YouTube's advertising ecosystem while working with cutting-edge technology and data science methods.