Max Huang

Principal Data Scientist at Magnit

Max Huang is a highly accomplished Senior Data Scientist with extensive experience in data-driven optimization across various industries. Currently at Magnit since April 2021, Max contributes to the world's largest workforce data repository, utilizing real-time labor market data for talent optimization. Prior roles include positions at Jane.com, Cerebri AI, where recognition was gained from Gartner, Nexxt Intelligence Inc. creating intelligent chatbots for market research, DataMillions Inc. focusing on real estate insights, and Husky Technologies driving improvements in machine systems. Max also served as a Visiting Scholar at Purdue University contributing to significant research projects and holds advanced degrees from Hamburg University of Technology, Zhejiang University, and Hefei University of Technology.

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San Francisco, United States

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Magnit

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Magnit™ (formerly PRO Unlimited) is a global leader and pioneer in contingent workforce management. Their industry-leading Integrated Workforce Management (IWM) platform is supported by 30+ years of innovation, modern software, proven expertise, and world-class data and intelligence. It enables companies to optimize talent and diversity goals while achieving operational and financial success. With Magnit, companies can adapt quickly to the evolution of work to grow their extended workforce with greater agility, transparency, and speed.