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Data Scientist Interviews

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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.

54,405 data scientist interview questions shared by candidates

First round: What data would you require if you when deciding whether to lend an auto finance to a customer? What are the different aspects you look at to decide the interest rate? I don't remember the case study questions but one was on health insurance pricing, the other was on call center and numbers of accounts to allocate at each one of them. I don't remember the third one.
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Data Scientist

Interviewed at American Credit Acceptance

3★
Mar 18, 2024

First round: What data would you require if you when deciding whether to lend an auto finance to a customer? What are the different aspects you look at to decide the interest rate? I don't remember the case study questions but one was on health insurance pricing, the other was on call center and numbers of accounts to allocate at each one of them. I don't remember the third one.

In-depth Rails questions, in particular on routes; What are those HTTP methods, and corresponding Rails methods. Difference between PUT/UPDATE. What is PATCH? Rails routes: member, collections? MySQL vs. Postgres, why one over the other. MySQL vs. NoSQL. Design eCommerce websites; Design products recommendation for eCommerce.
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Senior Data Scientist

Interviewed at ThredUp

2.7★
Apr 29, 2017

In-depth Rails questions, in particular on routes; What are those HTTP methods, and corresponding Rails methods. Difference between PUT/UPDATE. What is PATCH? Rails routes: member, collections? MySQL vs. Postgres, why one over the other. MySQL vs. NoSQL. Design eCommerce websites; Design products recommendation for eCommerce.

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