Ep17: How to Use AI and Build Data Science Teams

In this episode of the Data Neighbor Podcast, we sit down with Justin Chen, Senior Director of Growth Data Science and former Head of Data Science & Engineering at Coinbase, to dive deep into how to build scalable, high-impact data teams. We get into the mind of a data leader who has built numerous reputable data organizations to understand principles, lessons, and challenges every company faces. Justin shares invaluable insights on:- Go slow to go fast – Why early-stage speed can create long-term inefficiencies.- The evolution of data science – How different orgs (growth, core, platform) function within companies.- The myth of the unicorn data scientist – Why hiring for specialization is key.- AI's impact on data science – How automation and AI tools are shaping the future of analytics.- Getting a seat at the table – How data professionals can move from support roles to strategic leadership.Justin also shares his firsthand experience of building an AI-powered data copilot at Coinbase to streamline analytics workflows, offering a sneak peek into how AI will shape the next generation of data teams. Whether you’re a data scientist, engineer, or aspiring leader, this conversation is packed with practical advice and industry wisdom you won’t want to miss!Connect with Justin: https://www.linkedin.com/in/mingc/Connect with Hai, Sravya, and Shane (let us know which platform sent you!):Hai: https://linkedin.openinapp.co/4qi1rSravya: https://linkedin.openinapp.co/9be8cShane: https://linkedin.openinapp.co/b02fe#DataScience #AI #aiengineering #TechLeadership #MachineLearning #GrowthDataScience #CareerAdvice #Analytics #Hiring #DataEngineering #DataDriven #DataTeams #TechPodcast #aiagents

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