The rise of the data scientists continues and the social media is filled with success stories – but what about those who fail? There are no cover articles praising the fails of the many data scientists that don’t live up to the hype and don’t meet the needs of their stakeholders.

The job of the data scientist is solving problems. And some data scientists can’t solve them. They either don’t know how to, or are obsessed about the technology part of the craft and forget what the job is all about. Some get frustrated that “those business people” are asking them to do “simple trivial data tasks” while they’re working on something “really important and complex”. There are many ways a data scientist can fail – here’s a summary of top three mistakes that is a straight path towards failure.

Cyborgus → Top mistakes data scientists make