Dsa Questions: No of employees under each manager and stars question. Ml round: Breaths and depths of ml, Depth questions on your projects.
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
"How does a logistic regression model know what the coefficients are?"
How to build a classifier to distinguish between different possible locations where an audio sample was recorded?
I won't give details about the question as I respect the confidentiality of the interview. However, to give a general feeling, I think it doesn't hurt to mention the following. For example, code a class that implements a very popular ML algorithm. Even if the algorithm is very simple there are lots of possible improvements and generalisations, how to make it robust, efficient etc. Same thing for a class storing common data formats: dataframe, time-series, etc... how would you efficiently code access methods and/or storing according to the features of these data types?
Questions were about designing / improving recommender systems given a specific training data set.
Reasonable data science questions.
Interview was not taken due to technical issues
What is the best practice and biggest success that I have done in my current company.
Do you know specific mass spec software and for what project you used it?
what will you do if you received a negative feedback.
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