Standard questions for a introductory interview (background, motivation, etc) and relatively standard questions for a data science challenge (why this, why not that, etc).
Sr Data Scientist Interview Questions
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SQL: quite basic joins, groupbys, some window functions Python: create a function to estimate cashback of each transaction given different assumptions Experimentation: there were maybe a dozen questions here, do your homework and learn about experimentation!
Asked about introduction, end-to-end project you completed, 3 SQL Exercises in HM Round, Case Study. Expect to complete all within 45 minutes.
What is the Adam optimizer?
Implement a simple Python decorator function.
Our values at VHI are x, y, and z. What do you think you bring in terms of those values, what do you resonate with most
Give me a formula to calculate the revenue from a ad.
1. Thorough run-through of the resume, explain how you did this, that, etc. 2. SQL code for extracting 2nd longest flight between destinations X and Y, given the database of American flights. 3. Questions on SVM, over/under-fitting, regularization, choosing no. of hidden layers in NN, how to choose hyperparameters, etc.
What is your approach to metadata?
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