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."

54,373 scientist interview questions shared by candidates

The confirming interview was actually my favorite. First and foremost, it ending up being a second technical interview. But, I think that is because the interviewer was highly technical. There were a few cultural question - such as, what do you do to keep your skills relevant. But again.. insanely easy interview process.
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Data Scientist

Interviewed at Accenture

3.7
Oct 3, 2019

The confirming interview was actually my favorite. First and foremost, it ending up being a second technical interview. But, I think that is because the interviewer was highly technical. There were a few cultural question - such as, what do you do to keep your skills relevant. But again.. insanely easy interview process.

3 main questions: 1. write an algorithm to generate the probability of obtaining a random number based on a prior discrete distribution. Was asked all the relevant probability theory questions where applicable. asked to solve with and without using numpy library functions. 2. pick any ML algo of my choice and explain it at depth - decision trees in my case - how I have deployed it in a project before - covered all the conceptual details. 3. write SQL queries to offer discounts to customers that may not retain a premium subscription service - how would you determine who will/will not be a recurring customer?
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Data Scientist

Interviewed at Intuit

4.1
Nov 12, 2023

3 main questions: 1. write an algorithm to generate the probability of obtaining a random number based on a prior discrete distribution. Was asked all the relevant probability theory questions where applicable. asked to solve with and without using numpy library functions. 2. pick any ML algo of my choice and explain it at depth - decision trees in my case - how I have deployed it in a project before - covered all the conceptual details. 3. write SQL queries to offer discounts to customers that may not retain a premium subscription service - how would you determine who will/will not be a recurring customer?

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