Matthias Als is a Lead Data Scientist with eight years of experience applying data science and operations research to real-world logistics and supply-chain problems, currently leading Data & AI efforts at ECCO. He has driven scalable optimization products—from Intelligent Automated Replenishment across warehouses and stores to supply planning proofs-of-concept—while establishing DecisionOps and DevOps practices for production-grade OR software. His academic work bridges research and practice: a published decision-support tool for energy-optimising railway timetables and an ongoing MSc thesis on hybrid metaheuristics using rolling-stock behavioural data. Comfortable shipping full-stack solutions from ETLs to MIP models and neural nets, he pairs focused, results-oriented execution with a knack for visualizing complex product flows and mentoring growing teams. Notably, he has translated port arrival prediction research into production accuracy gains and scaled bespoke optimization algorithms across global markets.
8 years of coding experience
8 years of employment as a software developer
MSc Computer Science, MSc Computer Science at IT-Universitetet i København
Higher Technical Examination, Mathematics, Chemistry, Information Technology and Programming, Higher Technical Examination, Mathematics, Chemistry, Information Technology and Programming at H. C. Ørsted Gymnasium in Lyngby
IoT Applications & Data Management Summer School, IoT Applications & Data Management Summer School at Politecnico di Torino
Contributions:2 releases, 52 PRs, 96 pushes in 3 months
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