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Google Mathematics Jobs in California (NOW HIRING)

Bachelor's degree in Statistics, Computer Science, Mathematics or a related field and 5 years of ... About the job Google Cloud accelerates every organization's ability to digitally transform its ...

Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research ... Position reports to the Google San Francisco, CA office & may allow for a hybrid schedule as per ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics ... About the job Google's mission is to organize the world's information and make it universally ...

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... In Google Search, we're reimagining what it means to search for information - any way and anywhere.

Proficiency in Google Workspace and computer software for data collection and reporting. * Strong ... Master's Degree in Mathematics, Mathematics Education, Education, or a related field. * Higher ...

Showing results 21-40

Google Mathematics information

See California salary details

$22.2K

$58.1K

$93.3K

How much do google mathematics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for google mathematics in California is $58,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $69,100.00 per year, depending on experience, location, and employer.

What is a Google Mathematics?

A Google Mathematics job involves applying advanced mathematical concepts to solve complex problems in areas like artificial intelligence, machine learning, cryptography, data analysis, and algorithm design. Mathematicians at Google work on optimizing search algorithms, improving AI models, enhancing data compression, and developing new computational techniques. These roles often require expertise in areas such as probability, statistics, optimization, and discrete mathematics. Candidates typically have advanced degrees (master's or Ph.D.) in mathematics, computer science, or related fields.

What are the key skills and qualifications needed to thrive in the Google Mathematics position, and why are they important?

To thrive in a Google Mathematics role, you need a robust background in applied mathematics, statistics, and computer science, typically supported by an advanced degree such as a Master's or Ph.D. Proficiency in programming languages like Python or C++, mathematical modeling tools, and familiarity with large-scale data systems are commonly required. Strong problem-solving skills, creativity, and the ability to clearly communicate complex ideas are highly valued. These competencies are crucial to develop innovative solutions for Google's data-driven projects and to contribute successfully within multidisciplinary teams.

What are typical projects or challenges a Google Mathematics professional might work on?

Professionals in Google Mathematics roles often engage in projects that require designing new algorithms, optimizing search or recommendation systems, and developing advanced statistical models to support Google's products and services. They may tackle challenges like handling large datasets, improving machine learning efficiency, or solving complex optimization problems with practical, real-world impact. Teams are typically collaborative and multidisciplinary, so you'll work with engineers, researchers, and product managers to turn mathematical research into deployable solutions. The dynamic work environment encourages continuous learning and offers opportunities for career growth into technical leadership or specialized research fields. Overall, Google Mathematics professionals play a crucial part in driving innovation at the company.

Does Google hire mathematicians?

Yes, Google hires mathematicians for roles in data analysis, research, and engineering that require strong mathematical skills, including expertise in algorithms, statistics, and modeling. These positions often involve working with large datasets, machine learning, and developing innovative solutions, and typically require advanced degrees such as a master's or Ph.D. in mathematics or related fields.

What are popular job titles related to Google Mathematics jobs in California?

For Google Mathematics jobs in California, the most frequently searched job titles are:

What job categories do people searching Google Mathematics jobs in California look for?

The top searched job categories for Google Mathematics jobs in California are:

Infographic showing various Google Mathematics job openings in California as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $58,067 per year, or $27.9 per hour.

Staff Research Data Scientist, Search Ads Metrics

Google

Mountain View, CA • On-site

Full-time

Posted 23 days ago


Key responsibilities

  • Lead a team of data scientists to execute and present analysis and modeling projects that support ads business growth.

  • Optimize the Search Ads serving system by delivering insights from mathematical models.

  • Collaborate with product, engineering, and executive stakeholders to understand needs and align on solutions.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Preferred qualifications:
  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

About the job
Ads Metrics is the Data Scientist team for Search and O&O ads. We support the SAGE (Search Ads and Google Experience) organization in developing the most important ad products at Google - from classic text ads, to rich shopping ads, to exciting new products like Demand Gen Campaigns, Local Ads, Travel Ads, etc. These products are the heart of Google's business in annual business, are complex, advanced, and they are rapidly growing and evolving.
In this role, you will guide product development and executive decisions with data. You will measure the long term impact of all the changes Google makes on users, advertisers, and Google systems with innovative experiment designs; identify new growth opportunities with deep data analysis; and understand the tradeoffs between user, advertiser and Google value with principled frameworks. You will work closely with the Engineering/PM collaborators to improve the products, and with SAGE executives to understand the growth levers and their impact on business. Your role is to drive long term value for Google's business with insightful data science.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead a team of data scientists to contribute to ads business growth by initiating, executing, and presenting impactful analysis and modeling projects.
  • Optimize the Search Ads serving system by delivering valuable business insights from mathematical models.
  • Coach and mentor data scientists by setting clear expectations, evaluating performance, and providing challenges to stretch their skills.
  • Collaborate with product, engineering, executive stakeholders, and other organizations to understand needs, assist in decision-making, and align on solutions.
  • Navigate multiple stakeholders and organizational complexity to drive data-driven product development.

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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