First round: tell me about your background, why are you interested in this position? Second round: How to figure out competitor's tipping pattern
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.
54,212 data scientist interview questions shared by candidates
What is the bias-variance trade-off?
In a 52 cards game, you randomly draw 5 cards, then return 4 back to the dealer and you keep 1. The dealer will always know what card is in your hand. Can you tell me what strategy he used?
Questions about database and Machine Learning. The interviewer asked about my background in operations research and machine learning. Several programming questions with language of my choice.
What if you want to evaluate your model with respect to a system running on the client-side? How you are going to charge your client if your model is better than his system?
Take the integer 123 and convert it to 321. God forbid you use the most concise, correct solution, though. But hey, maybe I saved someone from this inane question since it's on full display on Glassdoor now.
The second question was trying to predict for 7 days. Follow up question was if u predict using the prediction u might accumulate errors.
Write a SQL query to count the number of unique users per day who logged in from both iPhone and web, where iPhone logs and web logs are in distinct relations.
How you will decide the number of clusters in k means?
How you will handle class imbalance problem? What are various approaches?
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