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!
Chapters
0:00 Introduction
2:42 Justin’s background & experience
3:51 The “go slow to go fast” principle in data orgs
7:18 Balancing speed vs. scalability in fast-growing companies
10:47 When startups should start investing in scalable data solutions
19:14 The unicorn data scientist myth & hiring the right talent
25:22 What skills make a great data scientist today?
37:16 Career growth: When to prioritize learning vs. compensation
38:03 AI’s role in shaping the future of data science
41:44 Justin’s AI-powered data copilot at Coinbase
49:06 Getting a seat at the table as a data scientist
52:44 Final thoughts & advice for aspiring data leaders
Connect with Justin, Hai, Sravya, and Shane:
Justin: https://www.linkedin.com/in/mingc/
Hai: https://linkedin.openinapp.co/4qi1r
Sravya: https://linkedin.openinapp.co/9be8c
Shane: https://linkedin.openinapp.co/b02fe
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