The Senior Staff Research Data Scientist role focuses on reinventing Search Ads for the AI era within the Ads in AI Experiences team at Google. This team is responsible for building the technology stack, user experience, and business model to enhance user engagement with businesses through innovative advertising solutions. The position requires deep expertise in analytics and problem-solving to influence stakeholders and drive decision-making. The role is critical in shaping the future of Google’s advertising products and ensuring they meet evolving user needs.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
• 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.

• Collaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, leveraging specialized knowledge.
• Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Format, restructure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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