What To Consider When Hiring Data Science Talent

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The truth is that hiring for data science is in many ways more of an art than a science. That does sound oxymoronic, but that does not make it any less true. The reason is obvious. Data science is so new that it can be hard to know what you’re actually looking for. What is the set of skills and abilities that will make a data science team fly and which one will make them flounder?

If you don’t know, then you’re certainly not alone. Fortunately, we do some years of company experience to draw on. What’s more, IT has been with us for nearly two decades and there are plenty of valuable lessons there too that we can implement in data science hires.

So let’s see what we’ve learned so far.

It’s not only about the numbers

A lot of companies think that if they just get a couple of people who are incredibly good with numbers, then it will all sort itself out. That couldn’t be further from the truth because the numbers alone won’t get you anywhere.

In the data community, there’s a famous saying: Garbage In Garbage Out. When they say it, they’re mainly talking about the quality of the raw …

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