Super Data Science: ML & AI Podcast with Jon Krohn

253: Solving Problems With Data Science & Uber

Apr 17, 2019
Guest
Bradley Voytek
Associate Professor Bradley Voytek, the first data scientist at Uber, shares his experiences and lessons learned at Uber. He highlights the need for data science skills to resist automation. The podcast also discusses the role of social sciences in data science, the challenges of choosing cities for Uber expansion, the balance between data insights and domain knowledge, the collaborative nature of data science, and the future of the field.
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Episode notes
1
Introduction
00:00 • 3min
2
Bradley Wojtek's Journey at Uber
02:56 • 22min
3
The Role of Social Sciences in Data Science
24:32 • 3min
4
The Challenges of Choosing the Best Cities for Uber Expansion
27:30 • 4min
5
The Balance Between Data Insights and Domain Knowledge
31:55 • 15min
6
Collaboration and the Three Pillars of Data Science
46:42 • 11min
7
Teaching Data Science and the Future of the Field
57:22 • 12min
8
Sharing Neuroscience Projects and Book Recommendations
01:09:17 • 5min