Scientist Phd Interview Questions

42 scientist phd interview questions shared by candidates

Screening Test was coding interview with two questions Q1. compute sum of numbers in a multi-level nested list where sum in a nested level is product of the sum and the nested level. Q2. check if a internationalization acronym is valid Full-Loop interviews had 3 coding round with 2 questions each. Q1 implementing a streaming dropout detector Q2 Deep-copy a linked list with a random pointer Q3 counting number of monotonic sequences in an array Q4 return all palindromes in a given string Q5 Trip planner Q6 Print matrix elements diagonally
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Research Scientist (PhD)

Interviewed at Meta

3.6
Apr 12, 2024

Screening Test was coding interview with two questions Q1. compute sum of numbers in a multi-level nested list where sum in a nested level is product of the sum and the nested level. Q2. check if a internationalization acronym is valid Full-Loop interviews had 3 coding round with 2 questions each. Q1 implementing a streaming dropout detector Q2 Deep-copy a linked list with a random pointer Q3 counting number of monotonic sequences in an array Q4 return all palindromes in a given string Q5 Trip planner Q6 Print matrix elements diagonally

Mostly you have to speak about 15-20 mins and the questions and conversation should fill out rest of the time. Most questions are follow up of what you speak. What is difference between your work and what is already available? How did you do it and how the plan came to you? What did you learn from the experience? Be precise in your answering.
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PhD Material Scientist

Interviewed at Dow

3.9
Oct 13, 2013

Mostly you have to speak about 15-20 mins and the questions and conversation should fill out rest of the time. Most questions are follow up of what you speak. What is difference between your work and what is already available? How did you do it and how the plan came to you? What did you learn from the experience? Be precise in your answering.

Screening Interview: Five questions were asked, four on linear regression and one on statistical coding. regression questions were not hard and would require a good review of the basics of linear regression, assumptions, and violations. Coding question only required understanding of matrices and numpy library in python.
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MS/PhD Data Scientist

Interviewed at Google

4.4
Nov 14, 2021

Screening Interview: Five questions were asked, four on linear regression and one on statistical coding. regression questions were not hard and would require a good review of the basics of linear regression, assumptions, and violations. Coding question only required understanding of matrices and numpy library in python.

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