Summary
Marie-laura Luisada is a Senior Data Scientist with 10 years of experience applying applied mathematics, operations research and machine learning to inventory optimization, experimentation and fraud detection across startups and large tech companies. She has driven high-impact analytics at Amazon and Zillow—building causal time-series frameworks, end-to-end A/B testing platforms and inventory-health diagnostics that informed senior leadership decisions for millions of users. Comfortable across Python, R, SQL and Tableau, she combines statistical rigor with production-ready pipelines and a track record of improving data quality and accelerating experimental velocity. Her background spans supply chain, payments, public health and marketing in San Francisco, New York, Seattle and Paris, giving her a rare cross-domain perspective on operational problems. Outside of work she channels her entrepreneurial impulse into organizing Techstars-backed Startup Weekend events and balances analytical focus with long-distance running, swimming and ballroom salsa.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MS) Applied Mathematics and Statistics, Master of Science (MS) Applied Mathematics and Statistics at ENSAE Paris
Classe préparatoire MPSI-MP* Fundamental Mathematics Physics, Classe préparatoire MPSI-MP* Fundamental Mathematics Physics at Lycée Louis-le-Grand, Paris
Master of Science (MS) Operations Research, Master of Science (MS) Operations Research at Columbia University
French, English, German