I feel that the majority of the article's argument is based on misconceptions. While it's true that graduate students often misunderstand what Data Science is about and focus solely on complex algos - the industry is at large converging to a generalist much needed definition of Data Science. Moreover if we were to assume that the natural tendency of the markets is to abort generalists for specialists we should expect to see the same happening to Software Engineers. Quite the contrary is true
Thanks for reading and your thoughts Prokopis, the majority of the argument is based on perception and my experience as I mentioned. Though admittedly my experience is only one sample in a distribution. Though I must ask why must what’s true in software development be true in data science? Especially in industries such as finance? I understand the association but why can the two not diverge?