483: Setting Yourself Apart in Data Science Interviews

episode

Super Data Science: ML & AI Podcast with Jon Krohn not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

Andrew Nabbout, Melbourne City star (24.09.26) 2 min · 23 Sep 2026 · SEN Breakfast

Press Pass | Lawrence on Prep for Patriots' Run Defense, Responding & Building Trust 11 min · 23 Sep 2026 · The Jacksonville Jaguars Official Podcast Network

Iran Enters the War of Words; The AI Agenda for the Trump-Xi Summit 26 min · 23 Sep 2026 · Here's the Scoop

Trump vs. the media 21 min · 23 Sep 2026 · The NPR Politics Podcast

Trump meets Xi: what's at stake? 19 min · 23 Sep 2026 · Business Daily

Musings About the Agentic Future 22 min · 23 Sep 2026 · Motley Fool Hidden Gems Investing

Report any issue

Source

Recorded29 Jun 2021

Publisherfeeds.megaphone.fm

Handlerec:6202903

Show notes

Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on interview time, resume, and more! In this episode you will learn: Data Science Infinity [5:40] “The Essential AI and Data Science Handbook for Recruitment” [17:40] How can aspiring data scientists set themselves apart? [21:30] What skillset should data scientists have? [34:36] Should data science be trying to be data engineers? [41:14] How can organizations ensure data science projects are a success? [50:50] Additional materials: www.superdatascience.com/483

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in