In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
Coding test: spreadsheet calculator. First phone technical interview: find the top k elements in an array; probability question: you have two options: one is to shoot a ball one time and would be counted as success if you make it, the other is to shoot 3 times and would be counted as success if make at least two. Which one should you choose? 2nd technical phone interview: find the first node where two link lists meet; I forgot the second question.
Qué dice el teorema central del límite?
Detailed discussion of past projects in areas relevant to the current project the managers are working on.
The loan repayment challenge. Build models to predict loan risk or quality (loan repayment).
Walk through a bayesian probability question theoretically then code in Python.
About yourself
Tell me about the projects you have worked
In phone screen, how would you calculate the posterior probability in a dice rolling experiment with weighted dice?
They asked a lot of questions like machine learning algorithms, basic statistics, knowledge of R and Python and also about projects you did with your current employer.
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