Daniel Pleus

Data Scientist Lead - AI Enablement Team at Schibsted

Daniel Pleus currently serves as the AI Innovation Manager at NOZ/mh:n MEDIEN and as the Data Scientist Lead for the AI Enablement Team at Schibsted, contributing significantly to the integration of AI across numerous brands. Previously, Daniel held various roles at eBay, including Data Science Manager and Business Performance Manager, where innovative product development and sales performance enhancement were key responsibilities. Additionally, Daniel worked as a Digital Product Manager at Neue Osnabrücker Zeitung GmbH & Co. KG and led B2B marketing initiatives as Head of Marketing at basecom. Daniel holds a Master’s degree in Big Data & Business Analytics from FOM University of Applied Sciences for Economics and Management and a Bachelor’s degree in Economics and Philosophy from The Martin Luther University of Halle-Wittenberg.

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