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Updated 2026-06-17 19:00 UTC·© 2025–2026 RoleSuite
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Senior Product Data Scientist, Consumer Shopping

Google · Mountain View, CA, USA

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Google Shopping is a comprehensive product search engine, a fast-growing product ads business, and an everyday essentials marketplace. We aim to revolutionize shopping by building great end-to-end user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on shopping products on various surfaces including Search, AI Mode, and Gemini.

As a Data Scientist in Consumer Shopping organization, you will evaluate and improve Google's Shopping products. You will collaborate with a multidisciplinary team of Engineers and Product Managers on a wide range of problems. You will bring investigative excellence and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of our end-users, merchants, and partners. You will develop, organize and launch experiments and projects across Engineering and Product teams.

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.

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 of work experience with a Master's degree).
  • Experience creating experiments and pilots to gather data and insights.

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).

Data & ML pay context

Based on 1,393 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$250K).

This posting lists $163K–$237K, above the $165K market median.

See the full Data & ML salary breakdown →
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