which is most valued? mle falls into swe category for some companies so I assume they have higher TCs.. is it true? i have little bit of experiences in all and trying to decide my career path. thanks!
From my understanding: MLE ~ real DS > DE > fake DS
Data science is a meme
really is overrated. Can’t even set up their own production models or pipe their own data......and I don’t mean some pandas manipulation in a notebook
I tried switching from swe to ds but then I realized productionizing the pipeline is more important
Totally depends on the company . If the DE/DS work is big data processing,ML etc you will be paid equal to SWE. Else lower (Analytics roles)
MLE > SWE > DS = DE
Whoever invented the term “data science” really fucked over an entire industry. Because no one knows it If means “guy who can write excel functions” or “hardcore stats/math guy who can write algos from scratch.” And CS/SWE don’t understand the field because their IQ is too low. Typically MLE >= SWE > DE >> DS
From what I’ve seen: swe> ds> mle> de. At pure ai companies ds> swe
Ds being ml research based, not an analytics monkey
why is mle lower than swe? seems like there’s a lower supply of se with tensorflow + spark experience than front-end/backend etc