Summary
Bertrand Haas is a Senior Data Scientist with a decade of industry experience and a deep academic foundation—PhD in mathematics and a Master’s in statistics from Harvard—bridging rigorous theory with applied data science. He transitioned from four years in algebraic geometry and teaching to R&D roles in cryptography, image processing, and graphic security, then moved into computational biology and multi-omics at the Broad Institute and Benaroya Research Institute. Since 2018 he has applied his statistical and computational expertise at Amazon, analyzing biometric data for Halo and later driving supply chain forecasting improvements in Procurement. Comfortable moving between nonprofit research and large tech, he combines strong probabilistic thinking with practical engineering to deliver actionable models on large, heterogeneous datasets. Notably, his career arc reflects a deliberate re-skilling (returning to graduate study mid-career) that sharpened his capacity to translate advanced math into production-ready analytics. Based in Seattle with ties to Luxembourg, he brings cross-disciplinary curiosity and a history of making complex scientific problems tractable for product teams.
10 years of coding experience
12 years of employment as a software developer
Masters Statistics, Masters Statistics at Harvard University
Ph.D. Mathematics, Ph.D. Mathematics at University of Basel
Masters & DEA mathematics, Masters & DEA mathematics at Université Louis Pasteur (Strasbourg I)
French, English