Jonathan Schaust

Jonathan Schaust is an experienced data scientist with a strong focus on machine learning and deep learning. They have worked in various roles, including as a Master's Thesis researcher at TOMRA Sorting Recycling, where they developed neural networks for the recycling industry. As a Machine Learning Engineer at Volksbank RheinAhrEifel eG, Jonathan established MLOps life cycles and managed projects that achieved an 80% automation rate. Currently, they serve as a Senior Data Scientist and Project Manager at ZF Group, where they plan and implement analytics solutions while mentoring students and collaborating with diverse teams. Jonathan holds a Master of Engineering in Systems Engineering and a Bachelor of Engineering in Mechatronics, Robotics, and Automation Engineering from Hochschule Koblenz.