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
Scientist Phd Interview Questions
42 scientist phd interview questions shared by candidates
No special unexpected question.
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.
Why would you prefer a industry to a academic job?
personality test: describe some situations and let you choose how to respond.
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.
Why do you want to work here?
How would you implement this new feature?
Tell me about a time you have a conflict with your collaborators.
How do you know if the data are overfitted?
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