

Confronting the Biggest Problem with the Data Science Interview (Jack Blandin) - KNN Ep. 172
28 snips Nov 1, 2023
In this episode, Jack Blandin, a brilliant data scientist and manager, discusses his distaste for the data science interview process and how he plans to improve it. They also explore building an ideal data science team, the importance of product/business intuition, and the challenges of pursuing a PhD while working. Plus, they emphasize the need for customization in the hiring process and challenging conventional wisdom in the data science industry.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9
Introduction
00:00 • 4min
Journey into Data Science and Machine Learning
03:50 • 11min
Differentiating Yourself in the Data Science Job Market
14:24 • 5min
The Importance of Product/Business Intuition
19:28 • 30min
Engineering and Problem-Solving
49:52 • 11min
Building a Data Science Team at a Startup
01:00:41 • 17min
Rethinking the Data Science Interview Process
01:17:12 • 18min
Pursuing a PhD in Computer Science While Working
01:34:49 • 9min
Embracing Change and Challenging Conventional Wisdom in the Data Science Industry
01:43:58 • 3min