Data Science Interviews Exposed - Softcover

Yanping Huang; Jane You; Iris Wang; Feng Cao; Ian Gao

Softcover

ISBN 10: 1511977485 ISBN 13: 9781511977487

Publisher: CreateSpace, 2015

Synopsis

Data Science Interviews Exposed offers data science career advice and REAL interview questions to help you get the six-figures salary jobs! A data science job is extremely rewarding. It empowers to you make real impact in the world! And besides, it offers competitive salaries, and it develops your creative as well as quantitative skills. No wonder the data science job is rated as one of the sexist jobs in 21st century. So what you are waiting for ?

• Are you still wondering how to join data science work force ?
• Are you lost in the tremendous amount of online data science courses and resources ?
• Are you endlessly searching online to find data science interview questions and answers?

If you answer yes for any of the questions, Data Science Interviews Exposed is a book you absolutely want to read. Why?

• This book is written by data science professionals from Facebook, LinkedIn, Amazon, Google and Microsoft, with years of first hand working and interviewing experience.
• This is the first book in the industry that systematically covers everything for preparing for a data science career and interviews, and with real interview questions and detailed answers.
• This book provides both career guidance for entry level candidates as well as interview questions practice for intermediate candidates.

Here is a full list of topics:
Introduction
This chapter presents an overview to the data science job market and the book organization.

Find the Right Job Roles
Get confused about the various data science job titles? This chapter provides a detailed description for each of them, the differences among them, as well as the guidance for choosing the one that suits you the most.

Find the Right Experience
Don't know how to prepare yourself with the right experience to meet the job requirements and your career goals? This chapter helps you to identify the experience you need to land your dream position. It also provides suggestions for new graduates as well as candidates from a different industry who want to transfer to data science field.

Get Ready for the Interviews
Think you have a clear goal and have possessed all the required skill sets, but just don't know how to get job interviews? This chapter walks you through how to build good resumes and professional profiles that would bring you the right exposure to the right person -- recruiters and hiring managers.

Polish Your Soft Skills
Heard of your competent peers failing job interviews and want to know why? This chapter reveals the secrets that most companies don t talk about publicly -- the soft skills. What are behavior questions, why are they important, how do you prepare for them? You will find the answer here.

Technical Interview Questions
An interview is not a pop quiz. You should take the time to practice on real interview problems and learn their patterns. This chapter lists eight major topics that are frequently covered by data science job interviews, associated with example interview questions for each of them. All of them are either real interview questions or adapted from real interview questions:
• Probability Theory
• Statistical Inference
• Dataset Manipulation
• Product, Metrics and Analytics
• Experiment Design
• Coding
• Machine Learning
• Brain Teasers
Solutions to Technical Interview Questions
This chapter attaches the solutions and thought process for each question in the previous chapter. We hope the readers can grasp the key points behind each of them, hence be able to apply the approaches to other similar questions in the real interviews.

About this title

About the Author

We, the Davocado team, is a group of five passionate data science professionals from leading internet companies: Jane an Amazon machine learning scientist; Iris a LinkedIn data scientist; Yanping a former Facebook research scientist and a now Googler; Feng an Amazon data and algorithm product software engineer;Ian a Microsoft data scientist

Data Science Interviews Exposed is our effort to show you there is a more effective and less stressful way to nail your data science job interviews, and develop your data science career. After helping and consulting with quite a few hiring managers and candidates, we understood the dire difficulty of hiring or landing a job in data science. We want to share our experience and help hundreds of thousands of candidates who are looking for jobs in data science.

Review

"Finally, we have a book on data science career planning, interviews preparation, and the skill set development. The book is written with great care and enthusiasm by a crew of leading data scientists who have been working in the field for years with extensive hands-on experience. The technical interview questions provide an overview of the essential topics in data science, along with a great selection of in-depth example questions and carefully prepared solutions. The book demonstrates the technical requirements for data science positions by specific examples, and explains the thought process for approaching some challenging problems. The non-technical introduction offers a very insightful and informative view of the data science job market, followed by extremely useful guidelines on career planning and development. I enjoyed reading the book and highly recommend it for anyone who is interested in starting a data science career." --Shuang Yang, Lead Data Scientist at Twitter

The whole Internet industry and many others value data more and more these days, executives want to make decisions based on the facts derived from the data. We witnessed a rapidly rising demand for data scientists over the past years. This book is a `must-have' book for preparing interviews for data scientists. The questions in technical interview section cover most of the required skill sets that are being assessed in the interviews, and the solutions illustrate how to use those skills through real examples. The solutions are `right to the point' but are also designed to inspire candidates to get their own thoughts. The non-tech section is the key for entry level candidates to improve their business understanding as well as professionalism. What I like most about this book is how it gives an overview of the day-to-day work of data scientists, so people can have an idea whether this is the right position for their career goals. This overview is also very helpful for people with different backgrounds to improve their skills to fit in a particular data science job. --A Google Quantitative Manager

The non technical introduction offers very informative view of the data science job market, followed by extremely useful guidelines on career planning and development. --Data Scientist at Microsoft

Edition details

• Publisher: CreateSpace
• Publication date: 2015
• ISBN 10: 1511977485
• ISBN 13: 9781511977487
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 230