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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

They will show you a formula which could be part of many statistics and expect you to state with authority that it is a logistic regression, when it is not actually the logistic regression equation, it is a part of it....
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Data Scientist

Interviewed at Nanigans

3.9★
May 11, 2018

They will show you a formula which could be part of many statistics and expect you to state with authority that it is a logistic regression, when it is not actually the logistic regression equation, it is a part of it....

All questions in the on-site interview were based on possible improvement to the models that I had built. and were from these topics. 1. Dimensionality reduction (followed by using it) 2. Train multiple models on the dataset judiciously 3. Selecting the ideal metric for the dataset 4. From scratch ensemble learning on the dataset with pre-prepared models 5. Architectural questions and discussions on taxi service 6. How will you use LSTM for analysing time-series data 7. Time-series analysis to find outliers and trends
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Research Scientist

Interviewed at ZAPR Media Labs

4.2★
Mar 28, 2019

All questions in the on-site interview were based on possible improvement to the models that I had built. and were from these topics. 1. Dimensionality reduction (followed by using it) 2. Train multiple models on the dataset judiciously 3. Selecting the ideal metric for the dataset 4. From scratch ensemble learning on the dataset with pre-prepared models 5. Architectural questions and discussions on taxi service 6. How will you use LSTM for analysing time-series data 7. Time-series analysis to find outliers and trends

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Glassdoor has 54,376 interview questions and reports from Data scientist interviews. Prepare for your interview. Get hired. Love your job.