The Senior Staff Research Data Scientist role at Google focuses on driving innovation in AI data research. This position requires deep expertise in machine learning and data science methodologies, contributing to the development of advanced Large Language Models. The team is dedicated to ensuring high-quality data is utilized for AI breakthroughs. The role involves collaboration with various product and model teams to enhance Google's AI capabilities.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
• 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.
• Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning.

• Work with data sets and solve complex and ambitious data science problems.
• Share and present findings to executive stakeholders, effectively defending your work and influencing strategy and product direction.
• Interact cross-functionally with a wide range of product and model teams.
• 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.