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Data Science interview questions to ask during the interview

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What is Data Science is a question that has plagued many in the last two decades. But the answer couldn’t be simpler.

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Data Science reveals trends and generates insights that businesses can use to make better decisions and develop more innovative products and services. Well, not just businesses, but its extracted value extends beyond businesses and into academic and social pursuits as well. There is virtually, and arguably, no industry that can't benefit from it.

 Technical Interview Questions:  

                                                                

  1. What is the curse of dimensionality, and how should one deal with it when building machine-learning models?
  2. Why is a comma a wrong record separator/delimiter?
  3. How do you determine "k" for k-means clustering? Or how do you choose the number of clusters in a data set?
  4. What's more important: predictive power or interpretability of a model?
  5. Explain finite precision. Why is finite precision a problem in machine learning?

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Practical Experience Interview Questions:

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  1. Describe a recent use of logistic regression.
  2. Describe an analysis you have recently completed, including strategies and findings. How did the business use the findings?
  3. Give examples of data cleaning techniques you have used in the past.
  4. What topics/tools would you include in a one-day data science crash course? And why?
  5. Describe a situation where you had to decide between two different types of machine learning algorithms, and why you chose the one you did.

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If you are interested in more Data Science Interview Questions, here are 100 categorized interview questions with answers.

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