Data scientist analytics at FB

Feb 16, 2019 29 Comments

What is the wlb in a non engineering role? If you work in the analytics position do you work on interesting problems?

I’m going to work there but didn’t discover blind in time to ask anonymous opinions beforehand. Don’t want to share numbers but will share that based on blind posts base was in line with swe and stocks are approx~half.

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TOP 29 Comments
  • Samsung
    5kt789

    Go to company page Samsung

    5kt789
    From my understanding, these roles wants you to be an sql monkey. You won’t be doing any machine learning. FB has ruined the data scientist title by diluting it to Data analyst jobs.
    Feb 16, 2019 2
    • Interesting. Didn’t get the impression that I would be building ml models in the position seemed more like a statistician role. But also didn’t get the impression it was about etl/sql either. As an aside regarding your point though think in the next 5 years there’s going to be very little opportunity to do anything in ml as a traditional ds. Because most ml models don’t perform nearly well enough to justify the cost associated with hiring people to build them and common tasks are being automated well enough that you just need someone who can understand what model to apply and how to manipulate the data. From my perspective if one wants to go into ml the only longer term career options are heavy into engineering or heavy into basic research.
      Feb 16, 2019
    • It’s not just FB, it’s many tech companies, you have to clarify when you interview that a/b testing and sql is of no interest to you.
      Feb 16, 2019
  • Oof sql sucks
    Feb 16, 2019 7
    • Facebook / Other
      Janitorque

      Go to company page Facebook Other

      BIO
      Data scientist
      Janitorque
      Thanks! Last question: how's the applied science role at MS in your estimation?
      Feb 18, 2019
    • Facebook
      alt_qq

      Go to company page Facebook

      PRE
      Microsoft
      alt_qq
      Literally just the same as the data scientist role, and again it just varies org to org...
      My title moved between "data and applied scientist" and "data scientist" when we standardized titles in our org. Honestly think it's not really anything different other than a ticky-tacky title footnote
      Feb 18, 2019
  • Seagate
    toti420

    Go to company page Seagate

    toti420
    Please share your level & TC broken down by base, RSU, bonus. Would be nice to share what kind of questions they asked you in the interview. Lastly, anyone who thinks that analytics data scientists are sql monkeys is patently wrong. I personally think exploring data to extract meaning and drive product development is more interesting than building ML models. SQL is just a tool to extract data. I doubt FB would pay the kind of money they do for people to simply be SQL monkeys. Any FB data scientists care to chime in?
    Feb 16, 2019 13
  • It depends on the team you work with. Some have dedicated Data Engineers that handle all the heavy SQL writing and dashboard building for your stakeholders. Other teams are less well-staffed and you may need to support other roles yourself directly.

    In any case, a good manager will help you deprioritize "just curious" requests and focus on analysis that will actually move the business.
    Feb 17, 2019 0
  • Nvidia
    Brouwer

    Go to company page Nvidia

    Brouwer
    TC or GT...
    Feb 16, 2019 0