The first round questions included basic dataframe manipulations, a regex question on writing a pattern to identify specific phrase which could have any number of random words in between (eg. between high and calorie, there could be any number of words upto 4 eg. high word1 calorie, high word1 word2 calorie' etc). This also needed some basic preprocessings like handling unidecode errors, punctuations and numbers in a string. Another question was a probability based descriptive question and a easy question on coding to print numbers between 0 to 100 which were prime.
Nlp Data Scientist Interview Questions
64 nlp data scientist interview questions shared by candidates
They assigned 2 testing code assessments
I won't divulge the custom questions they had because of an NDA. But I will divulge the interview questions that are carbon copy menial tasks. Of the first three phone/live-coding interviews, I was asked to do a merge sort. I guess I understand that they want to make sure I can code. But there's got to be a better problem. The many in-person interviews were (1) 1.5 hour coding-by-myself on a laptop, (2) describe a problem you worked on in detail, (3) "NLP" interview that didn't focus on NLP, instead they focused on AB testing (which is fine), (4) Lunch interview, (5) culture fit interview, (6) follow up/close/discussion interview. To be honest, I don't remember much near the end. I think I went directly home after and slept for 12 hours.
My experience in Machine translation
What is wrong with Pandas?
Not difficult but that was what I was asked: I was asked to write an algorithm and implement it to detect whether a search engine query is a question or not.
Focus on information retrieval and search concepts, particularly as they pertain to the end user. I didn't get any standard algorithm or stats questions, but your mileage may vary.
The recruiter asked me about what areas am I interested in and what are the salary ranges I am looking for.
What is the difference between dependency parsing and constituency parsing?
List comprehension , Numpy Slicing , Dictionaries, Regression algo in python
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