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      Data Scientist Machine Learning Interview

      Oct 5, 2016
      Anonymous employee
      Denver, CO
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. The process took 1+ week. I interviewed at Pearson (Denver, CO) in Jun 2016

      Interview

      I applied online and received an email to schedule a phone interview about a week or two later. There was 30 min phone call by the team leader. After that it was a 90 min conversation scheduled with 5 members of the team, with technical questions. Questions were about Python programming language, Machine learning, Apache Spark.

      Interview questions [3]

      Question 1

      Python: Version of Python used, and why? Which unit tests have you used on Python projects? Have you used scikit-learn library? Which algorithms have you used from there? What is a list comprehension in python, and how you use it? Are you familiar with "generator comprehension"? What is PEP8? What "pass" does in python? What python libraries have you used? How to resolve inter-dependencies of libraries? What is python "with" statement?
      Answer question

      Question 2

      ML: What is a difference between supervised and unsupervised learning? Give an example of both. How SVM algorithm works (general description)? How to make sure you are not overfitting while training a model? How you measure accuracy or the error rates? Spark: What is RDD? Why would you ever cache an RDD?
      Answer question

      Question 3

      General: Do you have an experience with going from quick and dirty prototyping to real products?
      Answer question
      7

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