279: Embedding Data Science in Business

In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "279: Embedding Data Science in Business" was published on July 17, 2019 and runs 68 minutes.

July 17, 2019 ·68m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/279

Episode Description