Q. Tell me about a time when you were short on deadline and how did you handle it? Q. Write a Python code to return the count of words in a string Q. What is cross validation Q. Tell me about your favorite algorithm
Data Scientist Interviews
Data Scientist Interview Questions
In a data scientist interview, expect employers to ask questions that assess your data modeling, problem-solving, and programming skills. Be prepared to answer general questions that test your knowledge of statistics and data science. You should also be ready to answer open-ended questions that test your creativity, communication skills, and formal education in data modeling and programming.
Top Data Scientist Interview Questions & How to Answer
Question #1: Which data modeling techniques do you prefer and why?
Question #2: How would you detect bogus Instagram accounts used for scamming consumers?
Question #3: Describe circumstances that require a list, tuple, or set in Python.
54,205 data scientist interview questions shared by candidates
How to build a dictionary in such a way that it'd be efficient to search for all valid words which are permutations of a given string?
If you were the one interviewing, what type of person would you look for, for this role?
What is probability of getting one pair of card from 52 deck of cards? How would you improve work hours?
given a table massenger_sends, date | ts | sender_id | receiver_id| message_id | has_reaction Q1) how many unique conversation threads are there ? note that there are threads that sender_id and receiver is inverse. this should be one thread
You are in a game show, where there is a million dollars behind one of three doors. You choose the left most door, but the game show host tell you that the middle door does not have the money. You are given the opportunity to remain with your original answer, or choose the right door. Which do you pick?
How do you design a pipeline (to a distant village)? Main factors u take care? u would go for laminar or turbulent flow
Mapreduce questions
How many high schools that people have listed on their profiles are real? How do we find out, and deploy at scale, a way of finding invalid schools?
We have a product that is getting used differently by two different groups. What is your hypothesis about why and how would you go about testing it?
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