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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- Salesforce / Other RiteaidIt 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.
- Oracle of · NadaThat'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 2
- 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