The Senior Staff Product Data Scientist role at Google focuses on leading the technical evolution of data systems across merchant and communication products. This position emphasizes the development of AI agents and self-healing data pipelines to enhance business insights and optimize consumer messaging. The role requires a blend of data science and software engineering skills to drive measurable business impact. The successful candidate will influence merchant ROI and ensure the delivery of valuable insights to businesses.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 10 years work experience with a Master's degree.
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field is preferred.
• 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) is preferred.

• Develop AI agents capable of executing end-to-end data analysis, from exploring interaction data to generating product recommendations.
• Build and deploy production-code data pipelines for Business Messaging and Business Agents.
• Structure data warehouses to ensure they are universally readable by internal AI systems and product surfaces.
• Architect the statistical frameworks and infrastructure for A/B testing and build automated systems that interpret experimental results.
• Serve as a technical benchmark for the data organization by writing clean, maintainable code and mentoring senior team members.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.