Coding interview, data science challenge
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
Question #1: Which data modeling techniques do you prefer and why?
How to answer
How to answer: Turning data into understandable and actionable information is a critical part of the data scientist's job. This question allows employers to understand your data modeling skills and background. List and discuss your preferred data modeling techniques, including benefits such as ease of use, flexibility, etc.
Question 2
Question #2: How would you detect bogus Instagram accounts used for scamming consumers?
How to answer
How to answer: Questions like this one allow an employer to test your problem-solving skills. When answering open-ended questions such as these, feel free to ask clarifying questions and use whiteboards to demonstrate your coding and diagramming skills. Share your thought process as you work through the problem.
Question 3
Question #3: Describe circumstances that require a list, tuple, or set in Python.
How to answer
How to answer: Interviewers will use questions such as this one to test your Python programming skills. Review Python basics such as lists, tuples, and sets before your interview. You should be able to explain when and how each tool is used by data scientists.
54,195 data scientist interview questions shared by candidates
The HR personnel did not ask any questions, he only wanted to schedule an interview.
write code to generate iid draws from distribution X when we only have access to a random number generator
You a 2 dices. What's the probability of getting at least one 4? Same question with n dice.
How do you map nicknames (Pete, Andy, Nick, Rob, etc) to real names?
If a PM says that they want to double the number of ads in Newsfeed, how would you figure out if this is a good idea or not?
Sent a takehome test related to machine learning and variable importance
How do you test whether a new credit risk scoring model works? What data would you look at?
given n samples from a uniform distribution [0, d], how to estimate d?
Given that one coupon was used, what is the likelihood that another person will use the coupon - ie. that both of them will use the coupon?
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