Half of a counterpoint, I fall under the data science umbrella and any current dissatisfaction boils down to application domain (and anything that falls into te

Half of a counterpoint, I fall under the data science umbrella and any current dissatisfaction boils down to application domain (and anything that falls into tech worker gripes which aren't specific to data sciences at all). Given the right organization there's interesting problems to solve, plenty of results to visualize, important company directions to point out, enjoyable literature surveys, etc. I've seen plenty of roles out there where it's more data analyst style work which appears to be more plug and chug work. None of those appeal to me as well it takes the scientist bit out of the role. No real exploration, you know? Analytics companies sit somewhere in-between and seem to have some similar grinds, but once you get to the level where the data becomes very complex the problem space becomes humongous. At that stage things are more limited by where management decides they want to have things explored than the role itself. The general domain has problems and can be an ethical minefield, but it's at least interesting enough that I plan on sticking around for a while under various job titles in the same space.