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

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Manage episode 374406257 series 3269789
Content provided by Ken Jee. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ken Jee or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.
Podcast Sponsors, Affiliates, and Partners:
- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)
- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job
- 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today
- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee | Interview prep questions
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/

  continue reading

194 episodes

Artwork
iconShare
 
Manage episode 374406257 series 3269789
Content provided by Ken Jee. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ken Jee or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.
Podcast Sponsors, Affiliates, and Partners:
- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)
- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job
- 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today
- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee | Interview prep questions
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/

  continue reading

194 episodes

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