10 questions to do in 2 hours.
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."
54,205 scientist interview questions shared by candidates
what is entropy
3 questions, two sql+ 1 python (though can be also easily solved with sql). The sql question is about finding the most popular track and for each track, the day it had most popularity. the python question is about adding certain advs. seconds on every 3,5,15 stream a user had. The interviewer appears having limited experience with sql, as both interviewers had moments first doubting my code, then admit they made mistake. As one example, when doing an inner joining of two tables I had 'From tableA a, tableB b where a.metric=b.metric, the interviewer first asked me where's my inner joining of the two tables, as in her mind it should be written as 'From TableA a inner join TableB b on a.metric=b.metric'. After I explained, she realized both ways writing are equivalent. Though I got all three questions right and well explained, I did not pass the tech interview and there was no feedback.
Given a cube and a random walker on the cube, find the expected value of the # of steps that the random walker takes to reach the opposite vertex of the cube.
If a jar has X red balls and Y blue balls, what is the minimum number of draws that is necessary to ensure that you have one ball of each color?
Technical Interview Questions: What are the assumptions for Linear Regression? What is a Random Forest? How is a decision tree built?
When can you start?
What’s the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors.
Are you okay with going out and collecting samples?
Write a program in Python to calculate tax if Salary and Tax Brackets are given as list in the form [ [10000, .3],[20000, .2], [30000, .1], [None, .1]]. You don’t know in the beginning how many tax brackets are there. You have to test for all of them.
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