Nathaniel Burbank is a Senior Data Scientist with expertise in probabilistic modeling, causal inference, and scalable machine learning systems. They have over six years of experience leading impactful projects at GiveDirectly and Wayfair, where Nathaniel developed donor and profitability models and deployed cloud-based data pipelines, resulting in significant business savings. Currently, they serve as a Staff Applied Scientist at ThredUp, following their tenure at GiveDirectly, where they built innovative tools and models to enhance donor analytics. Nathaniel holds a Master of Science in Computational Science and Engineering from Harvard University and a Bachelor's degree in Political Science and International Area Studies from New College of Florida.
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