Senior Product Data Scientist, Google Shopping

INFORMATION_TECHNOLOGY
USA
April 11, 2026
FULL_TIME

Job Overview

  • Date Posted
    April 11, 2026
  • Location
    USA
  • Expiration date
    --

Job Description

2026-04-07T10:34:45.092Z

119677954765529798

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 problems, 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 problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job

In this role, you will be a passionate, engineering-minded Data Scientist who is eager to innovate data science using GenAI tools and build data products. You will be a full-stack expert who can bridge the gap between software engineering, data engineering, and data science.

The US base salary range for this full-time position is $163,000-$237,000 + 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

  • Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
  • Conduct analyses to identify the significant opportunities for improving the Shopping Graph. Identify and advocate novel and innovative data science approaches.
  • Communicate complex findings and recommendations. Operate with a high degree of autonomy, managing projects from conception to impact. Contribute towards building a data science team that has engineering style work quality.
  • Build innovative data products, including self-serve tools, experimentation frameworks, automated rating systems, and human evaluation platforms.

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.

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