Summary
Gildas Jeantet is Head of Data with 14 years of experience blending academic research and product-focused data science across startups and scale-ups in the Greater Paris area. Trained as a PhD in computer science, he brings deep expertise in algorithm design for NP-hard problems and operational research, which he applies to production ML, scoring, and recommendation systems. He has led R&D and data teams, built datalabs and data platforms, and deployed microservices for fraud detection, RTB and search/recommendation at companies like SEKOIA.IO, Vectaury and Stootie. Comfortable from low-level C++ algorithmics to Python-based data engineering and visualization, he bridges rigorous mathematical methods with pragmatic engineering to deliver measurable business KPIs. An active participant in data competitions and a published researcher, he combines competitive data-mining practice with a history of scientific publications and collaborative research projects.
14 years of coding experience
9 years of employment as a software developer
Doctorat Informatique, Doctorat Informatique at Pierre and Marie Curie University
English