You could have fooled me. A key part of the scientific “mindset” requires that the scientist actually understand and use the scientific method in practicing their daily activities in the workplace. The data “scientist” does not. This is only one of many reasons why data “science” is not science as I have written about at length previously. It is also summarized in the handy infographic linked below. Feel free to use it as a reference. This is the major flaw with data scientists. They are taught to believe they are scientists and that they are practicing science when in fact they are not. As I have said many times this is no value judgement and I do not believe one is superior to the other, only that they are different. Until data “scientists” understand and recognize this fact their “mindset” and “style” will always be in question. Clarity of thought requires clarity of practice. Until data scientists come to understand what is is they do at work they will never know how to properly think about their work. Style flows from thought. Until data scientists begin to think properly about their work (aka adopt the correct mindset) their style will never be in harmony with it. Fix the one thing and everything else takes care of itself.