Typical questions about classical machine learning problems: you want to make an image classifier but you do not have enough labelled data...
Senior Data Scientist Interview Questions
3,387 senior data scientist interview questions shared by candidates
Relatively straightforward technical and behavioral questions, but deliberately worded in the most confusing and convoluted ways possible, requiring multiple clarifications to understand what is actually being asked. Be prepared for snide responses from interviewers when needing clarification.
X, Y ~ N(0, 1), What is P(X+Y>=0.5)
4) There is a virus that multiply with 3/4 probability and dies with 1/4 probability. What is the chance it would survive forever.
between 2001 and 3000 you can get each integer as the sum of (one or more) consecutive positive integers. i.e. 2345 = 467 + 468 + 469 + 470 + 471. there is only one number in that range that you cannot get.
Design a fraud detection system
Technical Question (Related / follow up to the previous question): Provide me with a specific example of a data project you implemented end to end and how you did it. What technologies did you use, what were the short comings, what did you learn from this process?
Behavioural, technical, as well as hypothetical. Things such as: how would you approach solving this problem?
How would you assess the effect of having pictures on a menu?
Who will you solve drop in customer retention ?
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