Summary
Matias Callara is a Senior Data Scientist based in Basel with 10 years of experience applying machine learning and operations research to industrial supply chain problems. As Domain Lead at Roche Diagnostics he built and now manages a portfolio of nine data products—spanning forecasting, inventory optimization and classification—driving deployment from PoC to global operations and supporting 400+ monthly users across 34k+ SKUs. He combines strategic leadership (portfolio prioritization, budgeting, stakeholder management) with hands-on delivery and system architecture decisions, and he personally led a business-critical demand forecasting system that delivered measurable value. His background mixes academic rigor (PhD in Math/CS, research on stochastic vehicle routing) with practical supply-chain planning experience from Philips and Novartis. He also teaches as an invited professor, signaling a commitment to mentorship and knowledge transfer. Not obvious from the title: he routinely staffs and transforms disparate groups into cohesive data teams, owning hiring and ways-of-working as part of his delivery remit.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Systems Optimization and Security, Master of Science (M.Sc.), Systems Optimization and Security at Université de Technologie de Troyes
Doctor of Philosophy (Ph.D.), Mathematics and Computer Science, Doctor of Philosophy (Ph.D.), Mathematics and Computer Science at Université de Haute-Alsace Mulhouse-Colmar
Universidade Federal do Rio de Janeiro
Engineer's degree, Industrial Engineering, Engineer's degree, Industrial Engineering at Universidad Tecnológica Nacional
Spanish, English, French, Portuguese, Italian