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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.

54,376 data scientist interview questions shared by candidates

The first round is about the machine learning knowledge, there are 2 interviewers from data science team and all of them are PhD. They ask me about my experience and projects on my resume. The question are very detail, and you need know very well about your project. They also introduce to me about what they do in the data science team. The second round is a coding interview. The interviewer ask me to write a specific class using python. I was not very familiar with the top programming, and the interviewer gave me an detail example and a lot of hints to guide me finish the process. The two rounds onsite interview and the interviewers are all very nice.
avatar

Data Scientist Internship

Interviewed at Tapad

4★
Mar 18, 2016

The first round is about the machine learning knowledge, there are 2 interviewers from data science team and all of them are PhD. They ask me about my experience and projects on my resume. The question are very detail, and you need know very well about your project. They also introduce to me about what they do in the data science team. The second round is a coding interview. The interviewer ask me to write a specific class using python. I was not very familiar with the top programming, and the interviewer gave me an detail example and a lot of hints to guide me finish the process. The two rounds onsite interview and the interviewers are all very nice.

assume you have a 10 agents at a call center, your job is to prepare scripts for each agent and then find the best scripts that works for each customers. How could you design an experiment to test, later how could you design a system that leads each customer to best scripts, how could you evaluate the system and based on what metrics. (I really liked this question)
avatar

Senior Data Scientist

Interviewed at Progressive Leasing

3.5★
Jun 19, 2024

assume you have a 10 agents at a call center, your job is to prepare scripts for each agent and then find the best scripts that works for each customers. How could you design an experiment to test, later how could you design a system that leads each customer to best scripts, how could you evaluate the system and based on what metrics. (I really liked this question)

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