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Updated 2026-06-10 10:00 UTC·© 2025–2026 RoleSuite
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Product Data Scientist, Discover Experience

Google · Mountain View, CA, USA

As a Data Scientist on the Discover Experiences team, you will support the broader growth initiatives on the Experience (user-facing) Product team. This includes a reporting/understanding function, where you become the expert on the state of Discover's Growth and progress against goals, including interpreting various launches and holdbacks along with organic growth trends. There is also a product-related component in which you will support the launch of growth initiatives such as bringing Discover to more surfaces.

Discover is one of the largest feed products in the world and part of the broader Search organization at Google. The Discover Experiences team owns the user-facing elements of the Discover product including feed units and experience, growth, AI integration into feed and more.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $198000 (USD) + 15% bonus target + bonus + 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.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of 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.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
  • Experience working as a Data Scientist on a traditional tech product team (e.g., Product Manager, Engineering, etc.).
  • Experience with experimentation analysis on internet/digital products (e.g., A/B tests, holdbacks, etc.).
  • Experience with growth analysis or reporting on a large internet/digital product.
Apply →

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