Why Data Scientists Should Break Things (Daniel Parris) - KNN Ep. 163

Today I had the pleasure of interviewing Daniel Parris. Daniel is a data scientist and data journalist with over eight years of experience. He was one of DoorDash's first data science hires, and he currently invests in early-stage data products through Dash VC. He run the newsletter called Stat Significant, which crafts data-centric essays about pop culture phenomena, and Data People, a short-form interview series with world-class data professionals. Which I was featured in recently. In this ...

Om Podcasten

The Ken's Nearest Neighbors Podcast is about telling the unique stories of the people in the data and AI space. In highly technical fields, we often lose sight of the individuals who are making the positive change. The podcast focuses on who these people are and how they have approached the big decisions in their life that shaped their world view and career. While the podcast is centered on a technical domain, the conversations often touch on personal philosophy, the pursuit of meaning, and how we define success in our career and lives.