Data Science interviews

Microsoft vector27
Jun 23, 2018 7 Comments

How are typical data science interviews? Do they delve into classic algorithm problems, optimization and data structure design or do they get into statistics concepts and linear algebra? I am a software engineer who intends to move to a data science role and curious about how to prepare for daa science interviews. From a preparation standpoint I have taken the popular intro to data science course on coursera by Andrew Ng and completed few projects available on kaggle.


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TOP 7 Comments
  • Salesforce / Other Riteaid
    It depends on what degree you have. If you don’t have a PhD, then you aren’t really getting hired as a data scientist. Perhaps data science engineer irrespective of what the title says. So yes, there will be mix of questions. In the end you will be implementing algos developed by the scientists, so they would wanna make sure you are good at that in addition to data science related questions.
    Jun 24, 2018 1
    • Oracle of · Nada
      That's just what happens with a bad manager and lack of initiative. Masters level is still doable with the right drive and background if manager is encouraging and open minded enough. A good resume, knowledge in a domain, and reading habits go a very long way. "What technical books have you recently read?" followed by asking for a review is a beautiful and underutilized data science interview question.

      I'll give you that undergrad wouldn't work most of the time though. A lack of enough interdisciplinary inuition is bad, and a BS just isn't enough rigor most of the time. No exposure to thankless research can be a problem too 😂
      Jun 24, 2018
  • Axtria KaggleLove
    Prepare your resume well, of course.

    But I haven't seen algorithms or data structures in interviews. Most data science interviews focus on ML algorithms, statistics, business questions, and data manipulation type coding
    Jun 23, 2018 2
    • Microsoft vector27
      Well I have mostly been working on designing and building backend systems so there isn't much data science experience on my resume other than the personal projects I have done
      Jun 23, 2018
    • Axtria KaggleLove
      Add them to your resume and prepare them well
      Jun 23, 2018
  • Google R1chCh1gga
    Curious as well. It looks like distribution questions (how to use binomial distribution, do a phone value test) are fair game, as are 'how would you model this' type questions.
    Jun 23, 2018 0
  • Glooko / Other

    Glooko Other

    Stanford Health Care
    They can range from how one thinks about data (data types, sources), data cleaning /transformation, to stats /analyses, extracting insights, modeling.
    Jun 23, 2018 0

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