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Updated 2026-07-02 14:00 UTC·© 2025–2026 RoleSuite
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Senior Product Data Scientist, Pixel

Google · Mountain View, CA, USA

As a Senior Product Data Scientist, you will join the Pixel Data Science team, acting as a critical thought partner to product, engineering, and executive leaders within the centralized devices and services organization. You will leverage data, advanced statistical modeling, and business acumen to drive critical product decisions and optimize performance for Google Pixel phones, watches, and earbuds.

In this role, you will lead end-to-end analytical work streams, build causal models to understand user engagement, and perform analysis on core Pixel technologies like AI and Gemini. If you are strategic, entrepreneurial minded, and passionate about leveraging data to influence the direction of hardware products, we want to hear from you.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

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 consulting, and applying statistical modeling or machine learning techniques to product or business problems.

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, 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).
  • Experience presenting analytical findings and strategic narratives to executive leadership and cross-functional stakeholders.

Data & ML pay context

Based on 1,528 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $202K (10th–90th percentile: $103K–$246K).

This posting lists $163K–$237K, above the $162K market median.

See the full Data & ML salary breakdown →
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