Data scientists are in notoriously high demand, so when your company is ready to make the leap into big data, it pays to understand how to tell if you’re getting a good one.
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Because of the vast amounts of money at stake with some big data projects, every data scientist wants you to believe that he or she is the kind of genius that can tease industry-changing information from a set of numbers and some code. And some can. But some can’t.
If you’re ready to hire a data scientist for your project or organization, there are some important questions to ask to make sure you get the right person for the job:
If you are a data scientist or have hired one for your company, what other traits would you add to the list? What differentiates a good data scientist from a mediocre one? I’d love to hear your thoughts in the comments.
About : Bernard Marr is a globally recognized expert in analytics and big data. He helps companies manage, measure, analyze and improve performance using data.
His new book is: Big Data: Using Smart Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance You can read a free sample chapter here