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Daniel Bartz has a diverse work experience in the field of data science and research. Daniel started their career as an Intern Consultant at d-fine GmbH in 2008, followed by working as a Research Associate at Technische Universität Berlin for seven years. In 2015, they joined emetriq GmbH as a Data Scientist, specializing in real-time bidding and click prediction. Daniel later became a Senior Data Scientist at emetriq GmbH before moving to freiheit.com technologies gmbh in 2018, where they worked as a Senior Data Scientist. In 2019, they joined Aurubis as a Research Data Scientist and eventually became the Team Lead of the Data Science team, playing a key role in the digitalization of the company through the optimization of production processes.

Daniel Bartz has an education history that includes a Ph.D. in Computer Science (Machine Learning) from the Technische Universität Berlin, which they obtained between 2008 and 2015. Prior to their Ph.D., they earned a Master of Science (M.Sc.) degree in Physik from Leibniz Universität Hannover, completing their studies from 2002 to 2008.

In addition to their academic degrees, Daniel Bartz has obtained several certifications. Daniel is a Microsoft Certified: Azure Data Scientist Associate, which they achieved in January 2021. Daniel also holds a specialization in Architecting with Google Cloud Platform from Coursera, obtained in January 2019, and a specialization in Data Engineering on Google Cloud Platform, obtained in November 2018. Daniel Bartz has also received edX Honor Code Certificates for Artificial Intelligence and Scalable Machine Learning, although the specific dates of obtaining these certificates are not provided.