Shouldn't we just reduce the "data science profession" to what it clearly is then: shuffling around numbers and statistics in excel and python, in the hope of generating a useful insight or two and the occasional whitepaper as you go along?

If you don't understand the tools you're using, or the environment you're in - you're not any more of a "data scientist" than pretty much everybody else. My carpenter is a data scientist going by this logic.