The Senior Staff Data Scientist Manager, AI Data role at Google focuses on enhancing the quality of data for Machine Learning models, particularly in the context of Large Language Models. The position is part of the Machine Learning, Systems and Cloud AI team, which emphasizes collaboration with model teams to improve data quality and availability. The role requires a blend of technical expertise and leadership skills to influence stakeholders and drive data-driven decisions. This position is based in Mountain View, CA, and offers a competitive salary and benefits package.

• 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.
• 6 years of experience as a people manager within a technical leadership role.

• Work with large data sets to conduct analysis that includes data gathering, processing, cleaning, curation, analysis, visualization, and presentations.
• Represent analysis to stakeholders and organization executives to share insights and influence product direction.
• Define key metrics that are statistically sound and meaningful to measure data quality and customer engagement.
• Research and develop analysis and optimization methods to improve the quality of Google's ML portfolio and applications.
• Conduct independent research to advance understanding of how data impacts the quality of large language models.

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