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Google Data Scientist Salary at Different Levels

The combination of the most in-demand job and the most popular tech company is bound to reap great benefits. Google has a wealth of data that needs to be gathered, processed, and made sense of — this is where a data scientist comes into play. 

Currently, Google Data Scientist is one of the most sought-after job profiles, with an average annual salary of $149,800. But the salary that you can draw as a data scientist at Google depends on various things, such as your experience and level. We’ll look at some of these key factors and the respective salaries in this article. 

If you’re a software engineer, coding engineer, software developer, engineering manager, or tech lead preparing for tech interviews, check out our technical interview checklist, interview questions page, and salary negotiation e-book to get interview-ready! 

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To provide you with some deeper insights into the role and shed some light on what the salary of a Google data scientist at different levels is, in this article, we’ll be covering:

  • What Does a Data Scientist Do at Google?
  • Google Data Scientist Salary at Different Levels
  • Google Data Scientist Salary Compared to Other Companies
  • Google Data Scientist Salary Based on Location
  • Google Data Scientist Salary: Breakdown, Stock Options & Benefits
  • FAQs on Google Data Scientist Salary

What Does a Data Scientist Do at Google?

With a user base spanning hundreds of millions, you can imagine how valuable data scientists must be to Google. The company employs almost 140,000 people globally, divided into teams; almost each of these teams has a data scientist.

As a data scientist at Google, you’ll be:

  • Working with large and complex data sets.
  • Solving complex, non-routine analysis problems and applying advanced analytical methods wherever required. 
  • Conducting analysis, which includes data gathering, processing, analysis, ongoing deliverables, and presentations.
  • Creating and prototyping analysis pipelines to give insights at scale.
  • Communicating cross-functionally and providing business recommendations.
  • Researching and developing analysis, forecasting, and coming up with optimization methods to elevate the quality of Google’s user-facing products. 

Google Data Scientist Salary at Different Levels

The salary of a data scientist at Google is determined based on the level they’re working at. There are nine different job levels at Google:

  • L3 (Data Scientist II): Entry-level position; 0-1 year of experience
  • L4 (Data Scientist III): 2-5 years of experience
  • L5 (Senior Data Scientist): Over 5 years of experience
  • L6 (Staff Data Scientist): 5-8 years of experience
  • L7 (Senior Staff Data Scientist): Over 8 years of experience
  • L8-L11: Executive roles; only employees with considerable experience within Google are eligible for these positions

Google Data Scientist Salary at Different Levels:


Google Data Scientist Salary Compared to Other Companies

Data scientist salaries can vary greatly from company to company. Naturally, the bigger a company is, the more money it can shell out. To help you see how this goes, here are the average salaries of data scientists at some of the biggest tech companies globally:


As you can see, Google is the highest paying employer for data scientists. Facebook and Apple are also right up there. Working at any of these top companies can prove lucrative for a data scientist.

Data Scientist Salary Based on Location

The location often plays a crucial role in determining the salary. While data scientists are in high demand across the US, some locations pay more than others. Here are the average salaries of data scientists at the top 5 highest-paying cities:


Google Data Scientist Salary: Breakdown, Stock Options, and Benefits

A Google data scientist’s salary can be broken down into three parts — base salary, bonus, and stock bonus. While the base salary is a fixed component, the bonus and stock bonus are rewarded based on your performance. These are determined during quarterly reviews.

Benefits of Working as a Google Data Scientist

According to, Google provides its employees with benefits that have an average estimated value of almost $17,000! Some of the benefits are:

  • Health insurance
  • Life insurance
  • PTO (vacation or personal days: 15 days minimum)
  • 401K
  • Student loan repayment plan
  • Adoption assistance
  • Remote work
  • Transport allowances

Some benefits unique to Google:

  • Fertility assistance
  • Travel insurance
  • Baby bonding bucks
  • On-site massage

This list isn’t complete, but the things listed here are enough to prove the point — Google is an excellent employer. By working for the company, you don’t just get to work with one of the biggest tech giants but also propel your career to the next level.

FAQs on Google Data Scientist Salary

Some commonly asked questions on Google Data Scientist Salary are:

Q1. What is the average Google data scientist salary?

On average, the Google data scientist’s salary is $149,800 per year. This is the base salary and doesn’t include the bonus and stock options. A senior data scientist can make as much as $219,000 a year (base salary).

Q2. What does a data scientist at Google do?

A Google data scientist works primarily in analytics, where the focus is on metrics and experimentation. This is in stark contrast to machine learning and product analyst roles, where the focus is mainly on the engineering and product side of things, respectively.

Q3. Is data scientist a high-paying job?

Data scientists are among the highest-paid employees in the tech industry. Further, the country where they make the most money is the US.

Q4. How to become a Google data scientist?

If you want to land a job as a Google data scientist, you need to know statistics — especially mathematical concepts such as linear algebra and calculus. Gain some relevant experience and be proficient at coding. After mastering these concepts, start prepping for the interview.

Q5. Which degree is the best for a data scientist?

A bachelor's degree in data science, computer science, or a related field is enough to get you started and land an entry-level job as a data scientist. However, in order to advance in the field, you might need a master’s degree as well.

Want to Become a Data Scientist at Google?

If you need help with your prep, join Interview Kickstart’s Data Science Interview Course — the first-of-its-kind, domain-specific tech interview prep program designed specifically for Data Scientists. Click here to learn more about the program. 

IK is the gold standard in tech interview prep. Our programs include a comprehensive curriculum, unmatched teaching methods, FAANG+ instructors, and career coaching to help you nail your next tech interview. 

Sign up for our FREE webinar to uplevel your career!

Last updated on: 
August 10, 2021

Ashwin Ramachandran

Head of Engineering @ Interview Kickstart. Enjoys cutting through the noise and finding patterns.

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