About the book


No matter the industry or the role, interviewing for a job can be stressful and awkward. Through fairly limited interactions, you’re trying to convince a bunch of strangers to hire you—to spend eight hours a day with you—instead of the dozens of other people they’ve considered.

And when you’re on the hunt for a data science role, you have the added pressure of tackling tough technical tests. Even if you’re fully confident in your skills, it’s typically a tremendously taxing experience.

The key to handling pressure and managing stress during the interview process is preparation. And this free ebook will set you up for success.

What’s inside?

To help you nail your next interview, we curated a list of 25 data science interview questions that fall into six different categories: statistics, programming, modeling, behavior, culture, and problem-solving. We then asked four data scientists currently working in the field to weigh in with direct answers and/or insights into what would make an answer stand out. For each question, there will be at least two answers, giving you different perspectives on how to construct your response.

Through 40 pages of information, you’ll learn not just how to respond to common data science interview questions, but what makes an answer stand out.

Who is this for?

Anyone who is considering working in this high-demand field (considered the “sexiest job of the 21st century” by the Harvard Business Review). Whether you’re fresh out of school or you’re a working professional looking for a new career in a skills-gap industry, this free ebook is a must-read!

About the contributors

Michael Beaumier is a data scientist at Google who previously worked in machine learning and data science at Mercedes Benz Research.

Ramkumar Hariharan is a senior machine learning scientist at macro-eyes and a mentor for Springboard’s Data Science Career Track.

Mansha Mahtani is a data scientist at Instagram who also was a data scientist at Blue Apron.

Danny Wells is a senior data scientist at the Parker Institute for Cancer Immunotherapy and a mentor for Springboard’s Data Science Career Track.

More reading

Read our comprehensive guide on the data science field. Check out our list of data science job sites and our infographic on data science salaries. Skill up with our free mini-course, which teaches foundational data science skills through hands-on work with a data set.

Download your free guide on 25 Data Science Interview Questions

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