Marc Goessling

Marc Goessling is a seasoned data scientist and applied scientist with extensive experience in developing innovative solutions across various sectors. Currently serving as a Senior Staff Applied Scientist at Afresh, Goessling leads the company's long-term science vision and focuses on inventory science for perishables. Previously, at Amazon, Goessling was pivotal in creating a deep learning model for regional demand forecasting, significantly reducing shipping costs. Goessling also contributed to Google's advertising business by developing a time series monitoring solution and a digital advertising simulator. Earlier roles include positions at simMachines, Bosch Research and Technology, Mercedes-Benz, and Roche, showcasing a robust foundation in machine learning, data analysis, and advanced measurement technologies. Goessling holds a PhD in Statistics from the University of Chicago, an MS in Mathematical Stochastics from The University of Göttingen, and a BS in Mathematics from Bielefeld University.