Product Data Scientist, Operations

Google

Google

Product, Operations, Data Science

Austin, TX, USA

Posted on May 12, 2026

Product Data Scientist, Operations

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GoogleAustin, TX, USA; Atlanta, GA, USA; +2 more; +1 more
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The application window will be open until at least May 25, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Thornton, CO, USA.

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 (extracting insights, performing statistical analysis, or solving business problems), and coding (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).

About the job

Our team's mission is Data Science to support growing and running an efficient, reliable cloud. We focus primarily on the Google Compute Engine (GCE) and Vertex products. We are part of a larger Data Science organization that supports planning and analysis for Google's global infrastructure. We're excited and have some early successes bringing AI to our work.The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Work with product leaders to understand objectives and formulate quantifiable business questions.
  • Create and evaluate metrics to reflect the status of the business.
  • Deliver insights into the data by creating workflows, colabs, dashboards and other visualizations.
  • Partner with engineering teams to understand, design and improve data sources and applications.
  • Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, custom data infrastructure or existing data models.

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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.