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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.

54,300 data scientist interview questions shared by candidates

The first technical screening will test your ability of debug and problem and write SQL query. The second technical screening go over your ability to analyze a data problem and explain end-to-end on solving it, from selecting the required data to coding the solution. It is done on a virtual whiteboard and facilitated as a conversation with the interviewer. Another similar interview will be done during the final round, with more emphasis on problem solving. There will also be a statistic interview, technical data analysis interview and cultural fit interview.
avatar

Data Scientist, Deliverr

Interviewed at Deliverr

4.2★
Sep 13, 2021

The first technical screening will test your ability of debug and problem and write SQL query. The second technical screening go over your ability to analyze a data problem and explain end-to-end on solving it, from selecting the required data to coding the solution. It is done on a virtual whiteboard and facilitated as a conversation with the interviewer. Another similar interview will be done during the final round, with more emphasis on problem solving. There will also be a statistic interview, technical data analysis interview and cultural fit interview.

Q1) Transformers/BERT/Attention Mechanism vs self-attention mechanism Q2) How does Faster RCNN work? Q3) How do an RNN works? Q4) Bias-variance Tradeoff Q5) How do you perform feature engineering? Q6) Define Recall, Precision, and F1 score with formulas Q7) Where do Data scientists spend most of their time while solving a problem? Q8) Quicksort Algorithm. Q9) How do you work under pressure? Q10) Egg dropping logical problem.
avatar

Data Scientist

Interviewed at Innoplexus

4.3★
Jun 13, 2021

Q1) Transformers/BERT/Attention Mechanism vs self-attention mechanism Q2) How does Faster RCNN work? Q3) How do an RNN works? Q4) Bias-variance Tradeoff Q5) How do you perform feature engineering? Q6) Define Recall, Precision, and F1 score with formulas Q7) Where do Data scientists spend most of their time while solving a problem? Q8) Quicksort Algorithm. Q9) How do you work under pressure? Q10) Egg dropping logical problem.

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Glassdoor has 54,300 interview questions and reports from Data scientist interviews. Prepare for your interview. Get hired. Love your job.