Data Scientist Internship Interview Questions

54,212 data scientist internship interview questions shared by candidates

Q: Given a function with inputs --an array with N randomly sorted numbers, and an int K, return output in an array with the K largest numbers. Q: 1. How does GMM/HMM work 2. Name some dimensional reduction method; I said PCA and we talked a bit about how PCA works and what's the physical intuiation 3. How K-means work, what kind of distance metric would you choose, what if different features have different dynamic range 4. How GMM works (EM algorithm)
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Applied Scientist

Interviewed at Amazon

3.5
Mar 9, 2016

Q: Given a function with inputs --an array with N randomly sorted numbers, and an int K, return output in an array with the K largest numbers. Q: 1. How does GMM/HMM work 2. Name some dimensional reduction method; I said PCA and we talked a bit about how PCA works and what's the physical intuiation 3. How K-means work, what kind of distance metric would you choose, what if different features have different dynamic range 4. How GMM works (EM algorithm)

You have a database of customer transactions and for some users you don’t have much data (1-2 transactions), and you want them to use Revolut’s services more. How would you analyse the data to do so, with such limited data on some users.
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Data Scientist

Interviewed at Revolut

4
Jun 30, 2018

You have a database of customer transactions and for some users you don’t have much data (1-2 transactions), and you want them to use Revolut’s services more. How would you analyse the data to do so, with such limited data on some users.

- A Bays textbook example (fair and unfair coins) - Some python simple algorithm codes and calculating the complexity of the method - Some ML questions about different methods and how the learning happens and objective functions ....
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Data Scientist

Interviewed at Indeed

3.8
Aug 17, 2021

- A Bays textbook example (fair and unfair coins) - Some python simple algorithm codes and calculating the complexity of the method - Some ML questions about different methods and how the learning happens and objective functions ....

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