Google Data Scientist Interview Questions (Step-by-Step Solutions!)

摘要： Are you preparing for a Google Data Scientist interview? Congratulations!

Are you preparing for a Google Data Scientist interview? Congratulations!

A data scientist role at Google is one of the most sought-after positions in the tech industry. This is because data scientists at Google are responsible for some of the most important projects at the company, such as developing algorithms to improve search results, improving Google Maps, and developing new features for products like Gmail and YouTube.

To land a data scientist role at Google, you will need to ace the interview process. In this article, we will go over some of the most common questions asked in a Google Data Scientist interview, along with step-by-step solutions to help you prepare.

Overview of the Data Science Interview

The data science interview process at Google is divided into two parts:

Part 1: The first part of the interview process is designed to test your technical skills. You will be asked questions about SQL, statistics, product, analysis, and machine learning similar to product management and data analyst interviews.

Part 2: The second part of the interview process is designed to assess your problem-solving abilities. You will be asked questions about real-world data sets and will be expected to come up with solutions to problems that data scientists typically face.

Now that we have an overview of the interview process, let’s dive into some specific questions you may be asked in each part of the interview.

轉貼自： medium.com

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