Summary
Arthur Katossky is a product-focused data scientist and educator with a decade of experience applying machine learning, econometrics, and NLP to public policy and commercial problems. Currently Product Owner for Trajectoire at DREES, he builds statistical models for mid- and long-term evaluation of French retirement policy while bridging stakeholders across government and research. He has a strong teaching pedigree at ENSAI and elsewhere, designing Big Data curricula and hands-on courses in R, Python, ggplot2 and d3.js, and routinely translates complex analytics for nontechnical audiences. Past roles span end-to-end data projects—from automated web-harvesting and SVM-based price forecasting for real estate to founding a local food business—revealing a blend of rigorous statistical training (ENSAE, DTU PhD-level work) and pragmatic product delivery. Colleagues describe him as curious and interdisciplinary: a “big data cocktail with a twist of social sciences” who favors reproducible analytics and practical visual storytelling.
10 years of coding experience
5 years of employment as a software developer
Master of Science (MS), Environmental economics, Master of Science (MS), Environmental economics at EHESS - Ecole des Hautes Etudes en Sciences Sociales
Engineer's degree, Statistics, Engineer's degree, Statistics at ENSAE Paris
Bachelor of Science (BS), Statistics, Bachelor of Science (BS), Statistics at Ecole nationale de la Statistique et de l'Analyse de l'Information
Technical University of Denmark
French, English, Danish, Spanish