Joshua Laurito is an experienced data leader with 12 years building and scaling analytics, ML, and data engineering organizations across media and consumer platforms, now serving as SVP, Data at The New York Times. He has led centralized applied data teams at Squarespace overseeing data platforms, ML services, A/B testing, BI, and risk/fraud programs, and previously ran data engineering at Fusion Media Group and analytics at CrowdTwist. His background blends deep quantitative modeling from finance (CDO structuring and municipal credit systems) with hands-on engineering and product-minded analytics, enabling practical, impact-focused data strategies. He teaches data visualization at the graduate level and has a dual academic foundation in chemistry and mathematics from Columbia. Notably, he helped spin out and commercialize a municipal bond risk platform used to manage over $1 trillion of exposure, reflecting an ability to turn domain expertise into durable software products.
12 years of coding experience
19 years of employment as a software developer
Chemistry, Mathematics, Chemistry, Mathematics at Columbia University
Contributions:22 pushes, 1 branch, 2 issues in 1 month
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