The Senior Staff Research Data Scientist role at Google focuses on driving innovation in AI through advanced data science methodologies. This position is integral to the team responsible for high-quality data that fuels Large Language Models. The role requires deep expertise in machine learning and collaboration with senior stakeholders to translate challenges into strategic opportunities. If you are passionate about data and want to shape the future of intelligent systems, this is the opportunity for you.

• 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.

• Work with large, complex data sets and solve complex and ambitious data science problems.
• Share and present findings to executive stakeholders, effectively defend your work, and influence strategy and product direction.
• Interact cross-functionally with a wide range of product and model teams.
• Work closely with Product Management and engineering to identify opportunities.
• Define key metrics to measure success in various shapes and forms.
• Develop new methodologies to improve the performance of Google's models through better training data.

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