There were no difficult questions. I had two telephone interviews.
Data Scientist Trainee Interview Questions
54,373 data scientist trainee interview questions shared by candidates
1. How do you use NN to reduce dimensionality? 2. Can you model time series as a linear regression model? 3. a) Can you use resampling methods like bagging to estimate the max of a population? b) Why is bagging a variance reduction scheme? 4. Why is the use of minibatch to minimize a function computationally more efficient than any other methods? 5.Gambler's ruin problem. 6. Assume that in a time series, some data are missing. How do you handle that? A. average out the existing values. Okay, so you want to average out the existing values, but how do you define the the new time series as a single function? A. Use characteristic or indicator function.
Medium to Complex Algorithm Questions. Basic ML questions
Why are you the best candidate for this position?
Why should we hire you? What sets you apart from the rest of the competition?
what is type 1 and type 2 error. What parameters needed for a T-test?
Machine Learning questions(logistic regression, cross-entropy loss derivation)
What is normalisation and why is it used for
Describe how to make priamary macrophages
General HR questions: Tell me about your motivations for applying this position? How do you see yourself in 5 years. ...
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