I received the following comment on an article: Let’s Stop Using the Term Fake Data Scientist and thought it merited a response. Usually the comments I receive are constructive even if they disagree with what I wrote, but this particular comment, demonstrated an arrogance which I believe is a huge problem in the data science world.
You can of course read the original article here, but the basic point was that data science is interdisciplinary field–consisting of a mixture of computer science, applied mathematics, and subject matter expertise, with a smattering of data visualization and communication skills. I believe that it is inappropriate to label someone as a fake simply because their skillset is proportioned differently than many math-centric data scientists. I’m also a believer in Dr. Carol Dweck’s thesis on having a growth-oriented mindset (as stated in her book Mindset) and that people who might be working in data science but whose skills need development in a certain area, should be given instruction and assistance rather than derogatory labels.