Data Science Interview Questions
This curated collection of interview resources are the best we’ve found across the web. Here, you’ll find specific data science interview questions, things you should be sure to ask potential employers, red flags, and discussions about how to think through your answers.
If you’re interviewing for data-related jobs, this is a must-read collection.
Likewise, if you’re interviewing candidates for an opening at your organization, you’ll find useful ideas for screening candidates and specific questions to ask.
Best wishes with your search!
💯 The Big List of Data Science Interview Resources
Awesome collection of curated resources for both sides of the interview table. Covers a wide variety of topics from specific interview questions to practical advice for finding candidates or your next job.Data Science Interview Questions with Answers
In this crowd-sourced collection of interview questions, answers are given by the community. Currently, this collection has over 4K stars on GitHub and is being actively developed.Airbnb Data Science Interview Questions
This post from the Acing AI interview series focuses on interviewing at Airbnb. Includes an overview of their interview process, how the teams are structured, important reading, key links and sample questions.The Best Medium-Hard Data Analyst SQL Interview Questions
This collection of SQL problems is designed for people who already work with SQL and want to level-up their skills. Includes a variety of problem types, solutions, and linked references.Five Interview Questions to Predict a Good Data Scientist
These questions don't have "right" answers but are great for generating discussion and gauging how well a candidate might fit in your organization.Interview Question: What ML Metric to Use
After having candidates work with some data and build a simple model, Alex Gude asks them to come up with a business case for the model. And then the key question: ”How would you measure the success of this model in production?" In this post, Alex offers great insights for thinking through an answer.The 'largest stock profit or loss' puzzle: efficient computation in R
In this post, David Robinson starts with a SQL interview question and shows how to make the solution as computationally efficient as possible using a tidyverse approach. This is a good think-through of different approaches.The 40 Best Questions to Ask in an Interview — How to Go Deeper Than “What’s the Culture Like?”
Good interviews should be two-sided but when you're the interviewee, opportunities to ask questions are limited. So what should you ask? Start here!6 Red flags from doing 60+ technical interviews
If you're interviewing for a new job, here are some key things to watch out for.Stay up to date in Data Science.
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