About the book


You’re convinced that you want to enter into a data science career. You’ve done your research and even started to learn some of the skills needed. But how do you go from an data science enthusiast to a data scientist at your dream company?

What does a data science interview look like? What do recruiters really think of your resume? Where are the data science jobs? Can you improve your odds of getting an interview by employing a few clever tactics? What questions should you prepare for? These are some of the questions we look to answer in this book. 

What’s inside? 

90 pages of original research, interviews with real data scientists and hiring managers at some of the best data science teams on earth, as well as recruiters and successful candidates who are now data scientists, and actionable checklists. We’ll walk you, step-by-step through everything you need to know to ace the data science interview. 

  • You’ll start by understanding the different roles and industries within data science so you can apply for jobs that are the best fit for you.
  • Next, you’ll learn how to apply for these jobs to maximize your chances of getting an interview.
  • Then, you’ll go over every step of the data science interview process so that you can prepare for what’s coming.
  • Next, you’ll get free sample questions that cover the categories of questions you can expect to receive, which you can use to practice how you approach the data science interview.
  • Then, you’ll get advice on what to do after the interview to move the process forward.
  • Finally, you’ll know what to do if you’re juggling between different offers.
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Who is this for? 

Anyone who wants to get a job in data science and anticipates going through a data science interview process. Ideally, you’ve already read our guide to data science careers and are working on building your skills and profiles for a data science interview.

About the author 

Roger Huang has always been inspired to learn more. He broke into a career in data by analyzing $700m worth of sales for a major pharmaceutical company. He has written for Entrepreneur, TechCrunch, The Next Web, VentureBeat, and Techvibes.

 

For this guide, he compiled insight from Springboard's network of hundreds of data science experts, including Sri Kanajan, a co-author of the book.

 

Sri Kanajan is currently a senior data scientist in New York City at a major investment bank. He has 14 years of experience in various engineering and management capacities and made a career transition to be a data scientist in 2013. He completed a full time data science bootcamp in San Francisco and progressed to become a data scientist at two startups and eventually a data science manager at Change.org before taking on his current role. Sri also teaches part time as a lead instructor in General Assembly's Data Science course. He is passionate about helping others make the transition into data science.

What is Springboard?

Springboard teaches 21st century skills like data science and UX design by creating curated online curriculums of best-in-kind materials and connecting students with industry experts in the field. We have mentored data science workshops such as Foundations of Data Science that help people break into data science careers. 

“We’re entering a new world in which data may be more important than software.”- Tim O’Reilly

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Your Guide to Data Science Interviews

Here are the key insights you’ll need to ace data science insights
  • Introduction
  • What is Data Science?
  • Different Roles within Data Science
  • 9 Paths to a Data Science Interview
  • How to Apply
  • Preparing for the Interview
  • Categories of Data Science Questions
  • Interviews with Hiring Managers
  • Interviews with Successful Interviewees
  • Handling the Offer Process