integrity. It is strange to be asked so.
Scientist Interviews
Scientist Interview Questions
"The questions you are asked in an interview for a position as a scientist will depend greatly on field of science you intend to work in. Generally, interviewers will be interested in your formal education, field of study and specialization, work, internship, and research experience, scientific writing skills, and interest in the subject matter. Expect to be asked technical questions that pertain to the knowledge needed to perform the duties of the job. While there are some positions open to scientists who possess associates' or bachelors' degrees, most jobs will require you to have at least a masters' degree with the majority requiring you to have a doctorate."
54,376 scientist interview questions shared by candidates
Most questions were scientific, and relatively easy to answer. Maybe the most difficult question was during the HR interview when I was asked how much I expected to make.
There were no difficult questions. I had two telephone interviews.
1. How do you use NN to reduce dimensionality? 2. Can you model time series as a linear regression model? 3. a) Can you use resampling methods like bagging to estimate the max of a population? b) Why is bagging a variance reduction scheme? 4. Why is the use of minibatch to minimize a function computationally more efficient than any other methods? 5.Gambler's ruin problem. 6. Assume that in a time series, some data are missing. How do you handle that? A. average out the existing values. Okay, so you want to average out the existing values, but how do you define the the new time series as a single function? A. Use characteristic or indicator function.
Medium to Complex Algorithm Questions. Basic ML questions
Why are you the best candidate for this position?
Why should we hire you? What sets you apart from the rest of the competition?
what is type 1 and type 2 error. What parameters needed for a T-test?
Machine Learning questions(logistic regression, cross-entropy loss derivation)
What is normalisation and why is it used for
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