Max Sperlich is a Data Science Manager based in the New York City area with 11 years of experience turning large, diverse datasets into predictive models and actionable business insights. He blends a strong computer science and software engineering foundation (RIT BS) with advanced statistical training (MS in Mathematics & Statistics from Georgetown) to ship production-grade analytics at scale. His career spans software engineering roles and senior data science positions at companies like LivingSocial—where his recommender increased subscriber revenue by 10% and ran on Hadoop—and leadership at ASAPP. Max is comfortable across the ML lifecycle, from backtesting and experimental design to deploying systems that serve tens of millions of users, and he has a demonstrated knack for translating complex analytics into measurable product impact.
11 years of coding experience
10 years of employment as a software developer
BS, Computer Software Engineering, BS, Computer Software Engineering at Rochester Institute of Technology
Master of Science (MS), Mathematics and Statistics, Master of Science (MS), Mathematics and Statistics at Georgetown University
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