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Sr Data Scientist Interview Questions
3,505 sr data scientist interview questions shared by candidates
When do you graduate? What roles are you looking for?
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?
Survival model analysis, please walk me through an example
LPs, data processing, tech talk
Leet code questions - reverse a string
The conversation with the HR responsible was very nice and professional. She asked about data science in general and why I am looking for another job, etc. However, the conversation with the IT person was not that good. Most of the question were not related (it seems they were from his field). Before the interview, I checked to whom I am going to discuss and I found that he is an IT Engineer at the company (basically lower in the hierarchy than the offered position). This did not cause any problem to me but at the interview, the interviewer was surprisingly very offensive.
What is k-means clustering? Does it find a global optimum?
What is Time Series Forecasting?
I was analyzed on all areas of Data science - ML, DL, NLP, Computer vision etc.
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