give a non text book solution to merge sort.
Research Scientist Interview Questions
Research Scientist Interview Questions
In a research scientist interview, you'll be expected to show that you have the necessary technical knowledge and expertise pertaining to the specific position you're applying for. Some of the common topics include basic statistical methods, machine learning concepts, and case study analysis. Also, the interviewer will most likely assess your communication and interpersonal skills, which are essential for effective teamwork and funding acquisition.
Top Research Scientist Interview Questions & How to Answer
Question #1: What is X concept? What are its assumptions and how do you apply it?
Question #2: Provide an example of a problem you faced in your previous role and how you solved it.
Question #3: How would you obtain research funding?
4,832 research scientist interview questions shared by candidates
website customer behavior question.
Newsvendor model, Convex Optimization algorithms, Leetcode easy
ROC curve, find best threshold on ROC curve, , define precision/recall/F1 score, how to choose between two models performing equally well, explain logistic regression, explain random forest, tell me a time when you made a mistake and had to tell your manager, tell me a time when you disagreed with a co-worker openly and what happened, tell me a time where you disagreed with your manager and what was the result, tell me a time where you went ahead and did something without consulting your manager, tell me a time when you didn't have enough time to research something but had to make a timely decision
Leadership questions at a very superficial level.
How would you build a spam filter for email
I did not get any interview questions. This is just a review for the application process.
1. Which ML model did you use? 2. Explain more details about this model (fundamentals)
I'm only remember that I was asked about string manipulations.
I have an academic background and I am trying to move to industry. They asked multiple times why I am switching to industry. I also got a lot of non-data science questions, such as basic algorithms questions (sorting, binary trees, time complexity, etc). So it is a good idea to prepare for both. They gave a scenario and ask me to tell a story from my experience that resembles that scenario (these are related to Amazon leadership skills).
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