Welcome to the first DataCafé Bite: a bite-size episode where Jason and Jeremy drop-in for a quick chat about a relevant or newsworthy topic from the world of Data Science. In this episode, we discuss how to hire a great Data Scientist, which is a challenge faced by many companies and is not easy to get right.
From endless coding tests and weird logic puzzles, to personality quizzes and competency-based interviews; there are many examples of how companies try to assess how a candidate handles and reacts to data problems. We share our thoughts and experiences on ways to set yourself up for success in hiring the best person for your team or company.
Have you been asked to complete a week-long data science mini-project for a company, or taken part in a data hackathon? We'd love to hear your experiences of good and bad hiring practice around Data Science. You can email us as jason at datacafe.uk or jeremy at datacafe.uk with your experiences. We'll be sure to revisit this topic as it's such a rich and changing landscape.
Further Reading
- Article: Guide to hiring data Scientists (https://bit.ly/2OjnALi via kdnuggets.com)
- Article: Hiring a data scientist: the good the bad and the ugly! (https://bit.ly/3cMpLR5 via forbes.com)
- Article: How to Hire (https://bit.ly/3dCLTfO via Harvard Business Review)
- Podcast: How to start a startup (https://bit.ly/3sOWxGU via Y-Combinator/Stanford University)
- Video: Adam Grant: Hire for Culture Fit or Add? (https://bit.ly/3cNGWl3 via YouTube/Stanford eCorner)
Some links above may require payment or login. We are not endorsing them or receiving any payment for mentioning them. They are provided as is. Often free versions of papers are available and we would encourage you to investigate.
Recording date: 1 April 2021
Intro music by Music 4 Video Library (Patreon supporter)
Thanks for joining us in the DataCafé. You can follow us on twitter @DataCafePodcast and feel free to contact us about anything you've heard here or think would be an interesting topic in the future.
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