Why looking down upon FB DS?

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yzc

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Jan 7 8 Comments

I always hear people saying that FB data scientists are glorified data/business analysts because they use SQL all day long and they mainly foces on improving products.

But as I observe, data scientists in many other companies are doing the same! Their daily work include defining metrics, conducting AB testing and doing deep dive analysis, but they barely build ML models/systems. Good examples are LinkedIn DS, Airbnb DS Analytics, Apple DS (in most teams, though there are some teams working on NLP or CV), Amazon DS (similar to their BIE), Google DS/QA (many working on AB testing), Uber DS (in many teams just analytics + AB test, in some teams doing applied ml), Lyft DS, Twitter DS, and many others.

If FB data scientists are glorified analysts, why not DS at these companies? Why FB DS are mentioned the most? Also, what’s the difference between DS analytics and data analysts when bost exist in the same company?

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TOP 8 Comments
  • LinkedIn YjsR10
    DS in general has become a joke within high tech. They're all business analysts with salaries to match. ML Eng has taken over the interesting work that used to be called data science, and MLE is better compensated as a result.
    Jan 7 2
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      yzc

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      OP
      But MLE seems to be a small job family. Now the job market has a lot more DS than MLE.
      Jan 7
    • LinkedIn YjsR10
      Yeah that's because companies started hiring "DS" to do BA work. The title is worthless now
      Jan 7
  • Goldman Sachs fake engineer
    Business analytics is important, I don't make fun of it. Only the salary :P

    The pay is such a joke which is why I got out. Doesn't matter if you do "real ML", the pay still doesn't stack up to a vanilla SWE in most cases.
    Jan 7 0
  • Amazon / Data xEYb07
    🍿
    Jan 8 0
  • Airbnb anJw
    I heard a lot of DS at FB just use Excel for their work. I don’t really see that at Airbnb. It would probably be looked down upon.
    Jan 15 1
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      yzc

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      Excel seriously? I suppose their data volume is huge.
      Jan 16
  • Yahoo XvQY30
    Interesting. Following
    Jan 7 0

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