Product Data Scientist, Operations

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 jobOur 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .