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.

54,387 data scientist interview questions shared by candidates

- What do you know about us? - Phone screens: Going over resume, confirming interest/work - Case study - If you reach the final rounds, be prepared to word your answers according to the background of the person who is interviewing you (else you have just bored them and they completely missed the point)
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Jr Data Scientist

Interviewed at Frontier

3.5
May 12, 2021

- What do you know about us? - Phone screens: Going over resume, confirming interest/work - Case study - If you reach the final rounds, be prepared to word your answers according to the background of the person who is interviewing you (else you have just bored them and they completely missed the point)

A entrevista, para mim, não foi difícil, mas marquei como difícil, pois se você for mediano no tema, certamente não se sairá muito bem. Há perguntas para justificar uso de modelos, de abordagens, de técnicas de deep learning e Gen AI. Há, também, perguntas de como sua solução pode ser implementada em um cenário real (escala, custos financeiros, custos computacionais, manutenção...).
avatar

Senior Data Scientist

Interviewed at Blip

3.4
Aug 1, 2024

A entrevista, para mim, não foi difícil, mas marquei como difícil, pois se você for mediano no tema, certamente não se sairá muito bem. Há perguntas para justificar uso de modelos, de abordagens, de técnicas de deep learning e Gen AI. Há, também, perguntas de como sua solução pode ser implementada em um cenário real (escala, custos financeiros, custos computacionais, manutenção...).

Why are you interested in ERM? What makes you think you will be a good candidate for the position? What do you do in your free time? How did you fall upon ERM in your job search? What are your personal and professional goals? Where do you see yourself in 10 years?
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Staff Scientist

Interviewed at ERM

3.5
Sep 8, 2015

Why are you interested in ERM? What makes you think you will be a good candidate for the position? What do you do in your free time? How did you fall upon ERM in your job search? What are your personal and professional goals? Where do you see yourself in 10 years?

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