Importance of PhD -vs- MSc in Data Science Roles
I have been observing that candidates with PhDs( even the ones with mechanical engineering) get the applied scientist or machine learning engineer roles while the MSc grads are stuck with menial data analyst roles, although all of them share the same "data scientist" name. Does not having a PhD restrict one's shifting from data analyst roles to ml roles ( even though you possess much more work experience than recent PhD grads )?
This behaviour is much more rampant in FAANG companies.
Also, PhD guys get paid more.
Does anyone have any anecdotes of MSc grads getting into FAANG companies in ML roles?
All being said, I have immense respect for PhD grads.
Just a tad bit..... overrated.