The process started with an HR interview, then a take-home case study to be done in 48 hours, and finally two technical interviews with data scientist managers focused on machine learning best practices.
Interview questions [1]
Question 1
Suppose having an accuracy of 60 %, what would you say about the classifier performance ?
In first round there where 11 questions. In total 3 Coding Question, 3 Probability MCQ Questions and 5 Machine Learning MCQ questions. The MCQ questions where quite easy to solve but Coding questions where time taking.
Interview questions [1]
Question 1
In coding questions we have to write code about Data Collection, Data Processing, Model Development and Evaluation in Jupyter notebook.
I applied through a staffing agency. I interviewed at Boston Consulting Group (Bengaluru) in Nov 2021
Interview
I attend two rounds.
in 1st round, she mostly asked ML basic questions and it was very easy.
in the 2nd round (Final), he asked about 1 scenario-based question and I was not able to answer it and he directly ended the call by saying that we can't go further with your candidacy. and I respect his decision.
Interview questions [1]
Question 1
ML basic questions, bagging, boosting, LR, loss function,
scenario question: let's say we running one company and our budget of marketing is 100M USD we run ads on different platforms like FB, Google, Tiktok, and Tv. now your work is how will you distribute the budget in this scenario?