[textminer]

I've actually seen "data scientist" used to indicate "probably not that proficient as an actual engineer, but knows what he or she is talking about in terms of theory and can usually get a working model done in R, Matlab, or Python". There seems to be an additional jump in knowledge of systems, data structures, and algorithms in building up performant machine learning stacks (something which can add in practical knowledge and praxis, but steals a little from raw-ideas work).

Citation: working in data science and machine learning engineer roles for nearly three years straight out of grad school in math.