Summary
Stephan Artmann is a Senior Data Scientist based in Switzerland with 12 years of experience blending rigorous mathematical optimization and practical data science to deliver business impact. He holds a PhD in mathematical optimization from ETH Zürich and has translated that theory into production—building forecasting, recommender and staff‑planning tools and introducing MLOps best practices at Die Schweizerische Post. His work spans modern NLP/LLM applications for customer feedback, time series forecasting, and mixed‑integer optimization for location planning, plus hands‑on automation and visualization tooling. As a lecturer in mathematics, he brings clear pedagogy to complex topics like linear algebra and numerics, reflecting a strong commitment to knowledge transfer. Notably, his background in molecular medicine before shifting to mathematics gives him an uncommon interdisciplinary perspective when approaching data problems.
12 years of coding experience
4 years of employment as a software developer
Master of Science, Molecular Medicine, Master of Science, Molecular Medicine at Georg-August-Universität Göttingen
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at ETH Zürich
English, German, French, Spanish