As a Senior Data Scientist in Web Quality and AI Context Engineering at Google, you will play a crucial role in enhancing the quality of Google's flagship products, including Search and AI Overviews. You will work closely with engineers and product managers to tackle complex challenges at the intersection of web and AI quality. Your insights will help redefine how billions of users access information. This position offers the opportunity to make a significant impact on global user experiences.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding in Python, R, or SQL, or 3 years of work experience with a PhD degree.
• 8 years of work experience using analytics to solve product or business problems, coding in Python, R, or SQL, or 6 years of work experience with a PhD degree preferred.
• Past experience working on a consumer-facing product or quality evaluations is preferred.
• Ability to apply appropriate quantitative models to real-world business problems.

• Collaborate closely with Engineers and Product Managers to identify quality and metric headrooms.
• Conduct rigorous analyses of datasets and apply statistical/AI methods to solve complex problems.
• Present actionable insights and recommendations to various stakeholders.
• Develop evaluations and measurements to guide iterative improvements and automate them in collaboration with Engineering and Product.
• Serve as an integrated partner to impel system changes and launches.

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