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Staff Data Scientist, Product, Sales Intelligence

Google

$183,000 - $271,000
Aug 21, 2025
Mountain View, CA, US
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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.

Requirements

  • 10 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
  • Experience in developing and managing metrics or evaluating programs/products
  • Experience in working with Engineers, Product Managers, and User Experience (UX) teams providing product insights
  • Experience in running experimental decision making processes quantitatively (e.g., inference, statistics, etc.) and organizationally (e.g., discipline, alignment, stakeholder management)

Responsibilities

  • Perform analysis utilizing related tools (e.g., SQL, R, Python)
  • Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders
  • Develop solutions, lead, and manage problems that may be lacking precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, investigative and product-specific expertise
  • Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives
  • Oversee the contributions of others and develop colleague's capabilities in the area of specialization
  • Provide investigative thought leadership through contributions (e.g., suggests new analysis, infrastructure or experiments to drive improvements in the business)

Other

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience
  • 5 years of experience in developing and managing metrics or evaluating programs/products
  • Experience in working with Engineers, Product Managers, and User Experience (UX) teams providing product insights
  • 12 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field