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 episode, Daniel explains what it was like to work at a quickly growing company with an experimental culture like doordash, what he learned from his biggest mistakes, and why he decided to pursue consulting and data journalism. 

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Daniel's Links:
- LinkedIn: https://www.linkedin.com/in/daniel-parris-8324b274/
- Email: daniel@askdatapeople.com
- Newsletter: https://substack.com/@statsignificant
- Data People: https://www.askdatapeople.com/