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How to interview the right data science talent

Data scientists are important ambassadors for the understanding, education and adoption of AI in the business world, so hiring the right talent is crucial to business success.

So, you’ve shortlisted your candidates and you’re inviting a strong selection of candidates to a first interview. How do you know if someone will be the right cultural fit and can help drive business impact?

928 interviews later and 336 successful data science hires for companies including JustEat, Google and Virgin Media, I want to share a couple of my top tips with you. I’m Maria by the way – Head of Fellowship at Faculty, a leading AI company.

If you have a long list of PhD and Masters qualified applicants – you go through their CV’s, their repository of code, their research papers – it’s hard to distinguish which very clever person should join your organisation. A good distinguisher is what soft skills the candidates have – what are they like when communicating with clients or the CEO?

Often overlooked in data science interviews, below are some of my favourite non-technical interview questions and some tips on what you should be looking out for in candidate answers:

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