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Volunteer Google Data Science Jobs (NOW HIRING)

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ...

Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other ... scientist/analyst. * Familiarity with business intelligence tools (e.g. Tableau), and big data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research ... About the job Google is one of the pioneers of modern digital advertising, and the enabler of a ...

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative ... Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and ...

The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative ... Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform ...

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Infographic showing various Volunteer Google Data Science job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Product Data Scientist, Education

Senior Product Data Scientist, Education

Google

Mountain View, CA • On-site

Full-time

Posted 2 days ago

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 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 issues, 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 issues, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job
Google for Education develops educational products, platforms, and business solutions to support teaching and learning globally by bringing Google technology to students, teachers, and education leaders. In this role, you will help grow these products and platforms.
The Education Data Science team plays a fundamental role in the success of Google for Education, by providing deep understanding of our business and product performance and developing insights to help drive strategic decisions.
As Generative AI continues to evolve and becomes integrated with Workspace Education products, you will contribute to these developments. You will help shape new product experiences and develop innovative ways to evaluate the quality of the content and the user experience.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Build and manage relationships with investigative, engineering, and product leaders in partner product areas (PAs) to align on metric instrumentation, resolve data dependencies, and co-develop analyses that influence shared product roadmaps and resource allocation.
  • Define, own and evolve product/business success metrics. Report, analyze and forecast trends of key product/business metrics and make recommendations to improve them. Lead the design, analysis, and interpretation of product experiments.
  • Apply technical expertise with observational data analysis, modeling, and causal inference to answer the product/business questions.
  • Architect unified data pipelines and single-source-of-truth measurement frameworks by integrating cross-PA data sources to map end-to-end user journeys and evaluate cross-product performance.
  • Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.

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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