Michael is a Data Scientist at Google, where he has created machine-learning models to improve engineer productivity and to forecast consumer hardware sales. Previously, Michael was a Principal Data Scientist at Microsoft where he helped create the Windows Experimentation Platform. Before that, Michael was the Principal Engineer for Amazon Search and the first engineer on Amazon Go. Michael helped create Amazon’s data scientist job ladder and hired the first data scientists there. Before switching to data science full time, Michael had a 15-year career as a software engineer at Amazon, Yahoo, Microsoft, and Caltech/JPL.