[csmpltn]

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.

[pavlovskyi]

But it is just an assumption. I work as a data scientist for 5+ years and from practical point of view, it is not just data wrangling. It is worth to mention that going through that logic we assume that programmer fully understand how to develop model in production and how to handle it in some border cases, which is not true.