Coding test: moving average Input 10, 20, 30, 10, ... Output: 10, 15, 20, 17.5, ...
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.
54,195 data scientist interview questions shared by candidates
Are you a big-picture person or a detail person?
What has the larger expected value, sampling a number between 1 and n from a uniform distribution and multiplying it by itself, or sampling two numbers and multiplying them.
A table has a column with full names(e.g. 'Tom Hardin'). write a python code to get distinct first names(i know its super easy in sql)
is technical test score necessary to crack all rounds of interview
What's your strengths for this position
If revenue is down 1% and time spent is up 2%, what do you infer/ decide?
We at Facebook would like to develop a way to estimate the month and day of people's birthdays, regardless of whether people give us that information directly. What methods would you propose, and data would you use, to help with that task?
Facebook sees that likes are up 10% year over year, why could this be?
Coding interview, data science challenge
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