Good point. That said, easy enough to augment an expert data scientist with 4:1 data engineering support, whereas a data scientist working solo will spend 80% engineering data. With all the hype and inflated expectations, IMO much easier to hire aspiring data scientists than talented engineers who are satisfied with the data prep and admin aspects. MSPA programs are realistic that the bulk of their graduates will be spending much of their time as data janitors.
IMO much easier to hire aspiring data scientists than talented engineers who are satisfied with the data prep and admin aspects
As someone who hires both, I can guarantee this is incorrect. Well, maybe hiring "aspiring" data scientists is ok, but an aspirations will get me models that do exactly the wrong thing. So that isn't useful.
