Q: What is the difference between bagging and boosting? Q: Explain K-means. etc.
Applied Research Scientist Interview Questions
260 applied research scientist interview questions shared by candidates
Tell me about a time you had a strict deadline and how you handled the situation.
How to build a recommender system from product description. What is SGD and why and when does it work, and how to improve.
Typical leetcode questions. Even the recruiters advised me to "practice" on leetcode before the interviews. Total waste of time ML depth round was not a depth round at all. Interviewer was busy taking notes and didn't probe the concepts further "Name all the hyperparameters of boosting model - XGB and/or GBM" Simpler alternative is to replace all interviewers with automated tests. I felt like I was talking to computers. I prefer leetcoding and attending multiple choice ML questions over talking to people who mechanistically follow instructions
How would you represent simple arithmetic as a computer program?
Describe an occasion where you completed a task out of your comfort zone.
Leadership questions as they described in the given materials.
SQL questions, some ML focused stats questions ( explain difference between boosting and bagging) and a coding challenge (design function to recognize a palindrome number)
Count the No. of Islands in a 2D Grid
What biases LLMs can have and how to mitigate?
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