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Google Math Jobs (NOW HIRING)

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all ...

Technical Product Manager, Google Ads

San Francisco, CA · On-site

$196K - $227K/yr

Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or ... Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who ...

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Google Math information

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$22.5K

$58.8K

$94.5K

How much do google math jobs pay per year?

As of Aug 27, 2026, the average yearly pay for google math in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is a Google Math job?

Google Math jobs refer to positions at Google that require strong mathematical skills and expertise. These roles often involve working in data analysis, machine learning, research, software engineering, or algorithm development. Employees in these positions use mathematical concepts to solve complex problems, optimize systems, and develop new technologies. Candidates typically have backgrounds in mathematics, statistics, computer science, or related fields.

What types of projects do mathematicians at Google typically work on, and how do they collaborate with interdisciplinary teams?

Mathematicians at Google often contribute to projects involving algorithm development, data analysis, machine learning, and optimization problems. They collaborate closely with software engineers, data scientists, and product managers to solve complex technical challenges, such as improving search algorithms or enhancing security protocols. The work environment is highly collaborative and fast-paced, with frequent brainstorming sessions and opportunities to contribute mathematical expertise to innovative products. This role offers continuous learning and the chance to see your mathematical solutions impact millions of users globally.

What are the key skills and qualifications needed to thrive as a Google software engineer specializing in mathematics, and why are they important?

To thrive as a Google Software Engineer specializing in Mathematics, you need a strong background in computer science, algorithms, and advanced mathematics, typically supported by a relevant degree. Familiarity with programming languages such as Python, C++, and Java, as well as experience using mathematical libraries and tools like TensorFlow or MATLAB, is important. Analytical thinking, problem-solving, and effective teamwork are essential soft skills for tackling complex challenges and collaborating on innovative solutions. These skills ensure robust, efficient solutions to mathematical and computational problems that support Google's technology and services.

What is the difference between Google Math vs Google Data Analyst?

AspectGoogle MathGoogle Data Analyst
Required CredentialsMathematics degree or related certificationsDegree in Statistics, Data Science, or related field
Work EnvironmentResearch, academic, or technical teamsBusiness, marketing, and product teams
Industry UsageAcademic, research, and technical sectorsCorporate, tech, and marketing sectors
Common Search/ComparisonFocus on mathematical theories and researchFocus on data analysis, reporting, and insights

Google Math typically involves theoretical and research-focused roles requiring advanced mathematics skills, while Google Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills but differ in application and industry context.

More about Google Math jobs

What states have the most Google Math jobs?

States with the most job openings for Google Math jobs include:

Infographic showing various Google Math job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Senior Data Scientist, Google Maps Growth

Google

Mountain View, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job
Geo Consumer Data Scientists mission is to drive positive user and business outcomes at Geo by enabling and advocating data driven decision making. We partner closely across all functions to ensure that the teams work and ambition aligns with themes at the Geo level and to guide our investments in growing our data science capabilities.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead Product Data Science for Reach Growth as a counterpart to a cross-functional team, enforcing measurement frameworks, owning experimentation, and conducting in-depth investigations to understand trends and steer product strategy.
  • Identify and quantify opportunities to optimize key geospatial user journeys across entry points and ingress channels by performing logs-based analyses across data sources, running experiments, and influencing stakeholders.
  • Model cross-Product Area user journeys and conduct analyses on evolving engagement dynamics to eliminate gaps in strategy across Google.
  • Define and implement success metrics frameworks to enable cross-Product Area decision-making and measure the impact of new growth integrations. Present metrics and insights at executive reviews.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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