Louis Cialdella is a Staff Data Scientist based in New York with 13 years of experience building data-driven products and analytics platforms across tech and finance. He has led causal inference and Bayesian experimentation at ZipRecruiter, developed fraud detection and operational ML systems, and shaped competitive ad strategy at Facebook before moving into management roles at StubHub and Google. Louis combines hands-on engineering—scaling JP Morgan’s risk pipelines to millions of trades per day—with product-facing analytics that translate complex experiments into business decisions. He mentors teams on rigorous methodology and has a Columbia BS in Computer Science with a specialization in ML/AI, bringing both academic grounding and production-grade implementation experience. An uncommon strength is his track record of moving from low-level data pipelines to strategic modeling work, bridging engineering, experimentation, and business impact.
13 years of coding experience
12 years of employment as a software developer
BS Computer Science Machine Learning, BS Computer Science Machine Learning at Columbia University
Contributions:1673 pushes, 3 branches, 1 issue in 4 years 8 months
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