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Must-Know Job Interview Questions for Data Scientists

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Hiring Data Scientists is no easy job. Today we’ve complied a selection of questions for recruiters to help you choose the right man for the job.

  1. Job interview questions for data scientists
  2. What do you think a data scientist is/does?
  3. What do you think are the most important skills for a data scientist to have?
  4. Which machine learning model (classification vs. regression, for example) to use given a particular problem.
  5. How to go about training, testing, and validating results. Different ways of controlling for model complexity.
  6. How to model a quantity that you can’t directly observe (using Bayesian approaches, for example, and when doing so, how to choose prior distributions).
  7. What types of data are important for a particular set of business needs, how you would go about collecting that data.
  8. When you get a new data set, what do you do with it to see if it will suit your needs for a given project?
  9. How do you handle big data sets — how would you start work on a project with an associated data set that was many tens of GB or larger?
  10. What’s a project you would want to work on at our company?
  11. What data would you go after to start working on it?
  12. What unique skills do you think you’d bring to the team?
  13. Tell me about a project you worked on that succeeded in part because of the way results were communicated. What were the factors that made it a success?
  14. Tell me a compelling story about data that you have analyzed.
  15. What subjects would you include in a one-day data science crash course? And why?

 

Sources: UdacitySAS

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