How would you train a model?
Lead Data Scientist Interview Questions
351 lead data scientist interview questions shared by candidates
First round -> 1-2 sql question, 1 python question and 1 puzzle Second round -> Clustering case study Third round -> Behavioural
Most of the questions asked from your assignment and you need to answer them from consultancy point of view.
How and when did you make any impact using analytics?
1st interview: got a relavitaly clean data set where I had to build a classifer (kaggle style) all done on local laptop. Juypter env.
The technical rounds and the case study were focused on traditional ML. How would you deal with columns containing hundreds of categories? How would you deal with class imbalance? How does xgboost deal with nan values? What is the difference between oversampling and class weights? What hyper-parameters did you use in your models? How did you decide between one hot encoding and target encoding? What was the loss function used and what the score function used and why they were chosen? Then there were questions regarding one of the projects you did and questions on that? Behavioural round - How would you deal with a low performer in your team? What challenges you have faced? What do you consider as failure? Hypothetical scenarios on linking your models to business KPIs ? How would you manage a project?
Sql question on cumsum ?
Find the diameter of Binary Tree?
Project discussion, basic statistics, basic ML. Questions revolved around your project and ML algos mentioned in the resume.
It was more on permutations and combinations
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