Summary
Andreas Loos is a data science and AI leader based in Berlin with eight years of industry experience and a deep academic background in mathematics and combinatorial optimization. As Teamlead Data Science & AI at ZEIT ONLINE, he has progressed from data scientist to senior lead, applying machine learning, NLP and integer programming to both business and investigative journalism problems. He bridges science and journalism, producing data-driven stories and tooling that serve newsroom needs as well as analytical product features. His PhD work in combinatorial optimization underpins a pragmatic approach to complex modeling and constrained decision problems. With earlier roles in science communication and journalism, he uniquely blends technical rigor with storytelling and public-facing explanation. Colleagues describe him as someone who turns dense mathematical ideas into actionable insights and readable narratives.
8 years of coding experience
9 years of employment as a software developer
Promotion, Mathematik / Kombinatorische Optimierung, Promotion, Mathematik / Kombinatorische Optimierung at Otto-von-Guericke University Magdeburg
Erstes Staatsexamen, Mathematik/Physik, Erstes Staatsexamen, Mathematik/Physik at FAU Erlangen-Nürnberg
Diplom, Journalismus/Kommunikationswissenschaft, Diplom, Journalismus/Kommunikationswissenschaft at University of Hohenheim