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Senior Data Scientist, Product, Customer Engagement Sales Intelligence

Google

$156,000 - $229,000
Nov 4, 2025
Mountain View, CA, United States of America
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Help serve Google's worldwide user base of more than a billion people by providing quantitative support, market understanding and a strategic perspective to partners throughout the organization, and drive the idea of how Google Ads builds customer success through a sales and customer intelligence engine, creating incremental value for Google.

Requirements

  • Experience with statistical data analysis, experimental design (e.g., A/B testing), and causal inference.
  • Coding skills (e.g., Python, R, SQL)
  • 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)

Responsibilities

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
  • Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
  • Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Build and prototype analysis and business cases to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
  • Influence across teams to align resources and direction.

Other

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (or 5 years of work experience with a Master's degree)
  • Ability to communicate findings to a team leader
  • Ability to work with cross-functional teams
  • US work authorization