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Google Mathematics Jobs in Seattle, WA (NOW HIRING)

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... About the job Help serve Google's worldwide user base of more than a billion people. Data ...

Requirements * Degree in mathematics/computer science or related discipline. * 8+ years of ... platforms (e.g., AWS, Azure, Google Cloud). * Experience as a mentor, tech lead or leading an ...

Digital Engineer Analytics 1

Everett, WA · On-site +1

$150K/yr

In this role, you will configure and maintain tools such as Google Analytics 4 and Google Tag ... Bachelor's degree in statistics, computer science, mathematics, engineering, or a similar field. An ...

Develop and execute comprehensive, AI-driven paid search strategies across Google Ads and Bing Ads ... Education: BA or BS in Marketing, Business, Economics, Mathematics, Statistics, or a related ...

Experienced in using Google, Amazon NLP APIs to parse data and analyse output * Experienced in ... Bachelor's/Master's Degree in Engineering, Statistics, Mathematics * Excellent hands-on working ...

Experienced in using Google, Amazon NLP APIs to parse data and analyse output * Experienced in ... Bachelor's/Master's Degree in Engineering, Statistics, Mathematics * Excellent hands-on working ...

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Showing results 1-20

Google Mathematics information

See Seattle, WA salary details

$25.6K

$67K

$107.5K

How much do google mathematics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for google mathematics in Seattle, WA is $66,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,700.00 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 Seattle, WA?

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

Infographic showing various Google Mathematics job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $66,958 per year, or $32.2 per hour.

Technical Program Manager III, Advanced Analytics, Google Data Center

Google

Seattle, WA • On-site

$59 - $79.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; Sunnyvale, CA, USA; Atlanta, GA, USA.
Minimum qualifications:
  • Bachelor's degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in SQL, Python, or BigQuery.
  • Experience in advanced analytics or AI/ML model-based solutions, and data engineering or systems management (e.g., data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, and system integration).

Preferred qualifications:
  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in modern data warehouses using cloud based solutions from data sources, predictive analytics, or machine learning.
  • Experience leading and delivering data-focused programs.
  • Experience with executing change management or program strategy.
  • Experience in developing batch and real time streaming data pipelines using Google Cloud Platform BigQuery, Dataflow, and Publish/Subscribe from data sources (e.g., Oracle, SAP).

About the job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Technical Program Manager at Google, you will lead multi-disciplinary projects for Google's Data Center teams. You will plan requirements with internal customers and support projects through the entire project life-cycle, manage project schedules, identify risks, and communicate goals to project stakeholders. You will work with stakeholders to architect, execute, and deliver data ingestion, leadership visualizations and insights, data warehouse infrastructure and data models, and advanced analytics leveraging ML/AI. You will manage program schedules, highlight risks, and communicate goals.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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
  • Design and implement data warehouse infrastructure, data structures, batch and real-time data pipelines, predictive analytics and machine learning models using Google Cloud Platform (GCP), translate data and model results into strategic insights for leadership and business stakeholders.
  • Lead multiple data-solution programs, including coding responsibilities covering data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams.
  • Manage all aspects of program deliverables from project inception to implementation and resource oversight.
  • Manage datasets to extract business insights that help maintain up-time of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google's data center footprint.

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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