
Super Data Science: ML & AI Podcast with Jon Krohn 665: How to be both socially impactful and financially successful in your data career
Mar 28, 2023
Angel investor and data science consultant Josh Wills, formerly at Google, Slack, and Cloudera, discusses key skills for scalable ML projects, contextual bandits, data quality, pitfalls in data product dev, defining a data scientist, role at WeaveGrid, tech stack preferences, and work during the Covid pandemic.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11
Intro
00:00 • 2min
Weather Patterns, Data Science Connections, and Contextual Bandits
02:15 • 14min
Transitioning to Real-Time Data Processing and the Significance of Data Quality Monitoring
15:54 • 6min
Navigating Fundamentals and Adapting to Changing Data Challenges
21:38 • 3min
Exploring No Code Options and Challenges in Data Organizations
24:22 • 4min
Evolving Paths in Data Careers and Addressing Climate Change
28:26 • 19min
Balancing Family Time and Personal Regrets with Warren Buffett's Definition of Success
47:07 • 2min
Transitioning from Management to Individual Contributor in Tech
48:43 • 27min
Discussion on the book 'Advanced Analytics with PiSpark' and a framework of type one fun versus type two fun
01:15:33 • 3min
Journey into Data Science after a PhD in Genomics
01:18:40 • 6min
Exploring Machine Learning Engineering, Contextual Bandits, and Smart Grids
01:24:51 • 3min
