First face to face round went OK. The interviewer asked about a matrix with dynamic programming algorithm and psuedo code for it. Also asked about explaining basics of technologies mentioned in the resume. I think I did justice with explaining what I knew, and from his expressions, I could not understand whether he was satisfied or not interested to listen :). No cross questions, not asking for details, just kept writing the feedback on his computer after asking. Second face to face round had two questions. One was algorithm for a tree traversal problem and proper code for it along with corner cases. Second question was a low level design problem.
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?
14,623 research scientist interview questions shared by candidates
Suppose you have n x_i real numbers. Find a such that the sum of (x_i-a)^2 is minimal.
lots of probability questions but they were not too hard
How much are you willing to pay to play the following game? You start with $1. You flip a fair coin. If it lands on heads, you double your winnings and flip again. If it lands on tails, the game is over and you collect the money you've won. You continue playing until you land on tails.
Q: how to evaluate a classifier; how to select features
Tell me about a time when you solved a problem using your analytical problem solving skills.
How to prevent over-fitting?
Tell me about yourself?
Find customer sales timeseries whose moving averages have positive slope, except the average should only be over two days, and the lead day changes, and actually it should be (customer, day) pairs, or triples with total sales, we're not sure actually what we want but it's definitely a very complicated SQL query. No. More complicated. What do you mean "use pandas?" Pandas and SQL are the same thing. SQL is column-oriented. I've never heard of KDB. That's something you made up.
Explain a probability distribution that is not normal and how to apply that.
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