What is the difference in TC, Skills needed and job duties between Data Scientist vs. Product Analyst at FAANG?
I have seen other posts around this topic but none of them gave specifics. So, posting this question for specifics on TC, Skills needed & key differences in day to day activities. I have started preparing for interviewing in these roles and want to know +/- in each of these and focus accordingly.
Edit: My roles mostly involved building predictive models (Stat models, not much of neural networks, A.I etc), experimenting/testing and also focused on strategy (SQL) as well. Although most of my roles were/are in non-FAANG companies, (FinTech, Analytics consulting etc.) and most of the coding is limited to Python and R (that to mostly Data Science related coding rather OOP). I am targeting to move to FAANG, what's your advice on 'should I target for Data Scientist or Analyst role?'
TC: 115k
YOE: 3.5 Yrs.
Edu: Masters in Data Science
Thanks in Advance!
Peace,
Marvel Fan!
#datascience #dataanalytics #data #datascientist #dataanalyst
comments
Google:
Data science is masters and phd with heavy emphasis on stats (inference) but not necessarily ML (similar to eng, pretty sure they’re on the T ladder)
Product analyst is basically SQL and basic stats (paid much less, I think B ladder but maybe if their org is technical they might be O ladder?)
Facebook
Analytics: same as product analyst at Google (same base 1/2 stock as eng)
Infra: no idea but i think ppl view them in higher regard than analytics idk why (probably same as analytics for pay)
Core/Infra: ML building (same as eng AFAIK)
Apple:
Data scientist can be a product analyst but also a data scientist. I know data scientists at Apple who can’t code or do stats but are just SQLers while i know product analysts who are brilliant coders (maybe even better than me) but they aren’t exactly stats / ML-y
My roles mostly involved building predictive models (Stat models, not much of neural networks, A.I etc), experimenting/testing and also focused on strategy (SQL) as well. Although most of my roles were/are in non-FAANG companies, (FinTech, Analytics consulting etc.) and most of the coding is limited to Python and R (that to mostly Data Science related coding rather OOP). I am targeting to move to FAANG, what's your advice on 'should I target for Data Scientist or Analyst role?'
TC: 115k
YOE: 3.5 Yrs.
MGM at FB data scientist, google product analyst, apple idk, i haven’t ever worked there before just know a lot of folks
TC: 115k
YOE: 3.5 Yrs.