Summary
Martin Durocher is a Senior Data Scientist with 11 years of experience applying statistical rigor and machine learning across biostatistics, environmental science, and business domains. He holds a PhD in Hydrology and has translated academic work—developing R packages and Shiny apps for regional extreme-event analysis—into production-ready solutions for flood forecasting and commodity price forecasting. At BASF Digital Solutions he builds neural-network-based dynamic pricing models, and at CAE he developed AI-driven customer segmentation and cancellation-risk prediction for training services. Comfortable bridging research and industry, Martin combines deep probabilistic/statistical expertise (copulas, threshold models) with practical product delivery in Python/R stacks. Based in Madrid, he brings a rare mix of academic depth and hands-on applied ML for critical infrastructure and commercial decisioning.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at Université de Sherbrooke
Doctor of Philosophy - PhD, Hydrology and Water Resources Science, Doctor of Philosophy - PhD, Hydrology and Water Resources Science at Institut national de la recherche scientifique
English, French, Spanish