Summary
Simon Kurz is a Senior Data Scientist in Hamburg with 7 years of experience applying machine learning and statistical modeling to industrial and experimental physics problems. He leads cross-functional teams, coordinates multi-stream AI projects, and has a track record of taking prototypes into production with CI/CD on Microsoft Azure while delivering measurable EBIT effects. His background includes a PhD in physics and data-driven research at DESY and CMS, where he developed high-performance reconstruction algorithms and presented at international conferences. Simon pairs rigorous, publication-grade analytical skills with practical productization experience, emphasizing explainability, user education, and change management to build trust in AI. Known for rapid comprehension and mentoring, he creates synergies across departments by turning proofs of concept into prioritized digitalization roadmaps. An uncommon strength is his blend of cutting-edge experimental physics methods with enterprise deployment practices, enabling solutions that are both scientifically robust and operationally reliable.
7 years of coding experience
Dr. rer. nat (Ph.D.), Physics, 0.5 (summa cum laude), Dr. rer. nat (Ph.D.), Physics, 0.5 (summa cum laude) at University of Hamburg
Bachelor of Science (B. Sc.), Physics, 1.0, Bachelor of Science (B. Sc.), Physics, 1.0 at FAU Erlangen-Nürnberg