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Google Mathematician Jobs (NOW HIRING)

Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or ... The gTech users and Products (gUP) Product and Delivery (P&D) Google Fi team is entering a ...

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 Mathematician information

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$27.5K

$56.7K

$60.5K

How much do google mathematician jobs pay per year?

As of Jul 31, 2026, the average yearly pay for google mathematician in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

How do Google mathematicians typically collaborate with software engineers and research scientists on complex projects?

At Google, mathematicians often work closely with software engineers and research scientists to solve challenging problems in areas like machine learning, data analysis, and algorithm optimization. Collaboration usually involves translating abstract mathematical concepts into practical algorithms, reviewing technical designs, and providing theoretical insights that guide project direction. Teamwork is highly encouraged, with mathematicians participating in regular meetings, code reviews, and brainstorming sessions to ensure solutions are both mathematically sound and technically feasible. This multidisciplinary environment provides valuable opportunities for professional growth and learning.

What does a Google Mathematician do?

A Google Mathematician applies advanced mathematical concepts and techniques to solve complex problems in areas like search algorithms, machine learning, data analysis, and optimization. They collaborate with engineers and researchers to develop models that improve Google's products and services. Their work often involves statistical analysis, algorithm development, and contributing to innovative solutions that impact millions of users worldwide.

What are the key skills and qualifications needed to thrive as a Google Mathematician, and why are they important?

To excel as a Google Mathematician, you need a strong background in advanced mathematics, problem-solving, and data analysis, typically supported by a graduate degree in mathematics or a related field. Familiarity with programming languages (such as Python or C++), statistical software, and machine learning frameworks is commonly required. Exceptional analytical thinking, creativity, and effective communication are vital soft skills for innovating and working on interdisciplinary teams. These abilities are crucial for developing algorithms, solving complex problems, and driving impactful solutions in a technology-driven environment.

What is the difference between Google Mathematician vs Data Scientist?

AspectGoogle MathematicianData Scientist
Required CredentialsAdvanced degrees in mathematics or related fieldsDegree in statistics, computer science, or related fields
Work EnvironmentResearch-focused, theoretical problem solving at GoogleData analysis, modeling, and insights generation across projects
Employer & Industry UsagePrimarily in tech companies like Google, research institutionsAcross industries including tech, finance, healthcare

Google Mathematicians focus on theoretical research and complex mathematical problem solving, often working on foundational algorithms. Data Scientists analyze data to extract insights, build models, and support business decisions. While both roles require strong analytical skills, Google Mathematicians are more research-oriented, whereas Data Scientists are more application-driven.

More about Google Mathematician jobs
What cities are hiring for Google Mathematician jobs? Cities with the most Google Mathematician job openings:
Infographic showing various Google Mathematician job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.

Product Data Scientist, Google Play App

Google

Mountain View, CA • On-site

Full-time

Posted 6 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

50th of 241 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
  • Experience in user engagement domains.
  • Experience in online App Store ecosystems or digital marketplaces.

About the job
Google Play provides apps, games, and digital content services that bring Android devices to life, serving over three billion users worldwide. This team is truly embedded in the product development lifecycle-acting as thought partners from ideation to experimentation, delivering strategic insights, and building unified data foundations.
As a Data Scientist for the Google Play Apps team, you will be the core investigative driver for product strategy and business growth. You will partner with engineering, product management, and UX stakeholders to support Google Play engagement. Your work will support organizational objectives and key results aimed at transforming the current app product offering with engaging content experiences. In this role, you will establish a foundational understanding of user behavioral data, helping to guide the product roadmap and experimentation.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, use custom data infrastructure or existing data models.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
  • Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Provide insights and recommendations to influence product feature development decisions, with some guidance.
  • Partner with engineering, product management, and other Play/Apps stakeholders to inform product strategy, influence decisions with insights, and establish success frameworks.

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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