The Staff Data Scientist role at Google focuses on integrating Generative AI into the Search experience. The position involves collaborating with engineers and product managers to tackle complex challenges and innovate user interactions with Google. The successful candidate will have the opportunity to influence decision-making and drive outcomes in a rapidly evolving field. This role is critical in redefining how users access knowledge globally.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• 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 working on a consumer-facing product.
• Familiarity with statistical tools/software packages (e.g., Python, SQL etc.).

• Interact cross-functionally with a wide variety of teams to identify growth and quality opportunities for the product.
• Conduct analyses of datasets, applying statistical methods to solve problems and present actionable recommendations to stakeholders.
• Drive innovation by adapting to frequent pivots and managing the ambiguity of this rapidly evolving field.
• Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, and implementation of analytical/statistical models.
• Translate granular metric analyses into executive-level strategic narratives, combining high-level insights with analytical depth.

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