What is the difference in TC, Skills needed and job duties between Data Scientist vs. Product Analyst at FAANG?

Jul 22, 2020 8 Comments

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

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TOP 8 Comments
  • you’re confused the title doesn’t matter

    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
    Jul 22, 2020 5
    • Thanks for your inputs.
      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.
      Jul 22, 2020
    • apple, at that point why don’t you just become an ML SWE... why get paid less when you have the skill set and background to get paid more?

      MGM at FB data scientist, google product analyst, apple idk, i haven’t ever worked there before just know a lot of folks
      Jul 22, 2020
  • 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.
    Jul 22, 2020 0
  • Cant comment on specifics but id focus on the job description rather than title. Honestly main differences tend to be knowing scripting, stats, and ml. The job description will tell you whats needed for the role. For example netflix dont have product analyst. I think the closest thing would be analytics engineer
    Jul 22, 2020 0