The Senior Data Scientist for Search Personalization at Google will lead the quality, evaluation, and measurement strategy for a next-generation Personal Search product. This role focuses on integrating advanced GenAI personalization into Search, aiming to enhance user interaction with information. The team is dedicated to bridging the gap between user experience and system engineering, making a significant impact on billions of users globally. The position requires a blend of statistical expertise and collaboration with engineering teams to optimize data-driven improvements.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
• 5 years of work experience using analytics to solve product or business problems, coding in Python, R, or SQL, and querying databases, 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, and querying databases, or 6 years of work experience with a PhD degree preferred.

• Design, validate, and scale the quantitative metrics framework for conversational personalization quality.
• Develop statistical methodologies to evaluate the trade-offs between proactive AI features and user friction.
• Partner directly with Engineering to build, validate, and optimize model-based evaluation frameworks within the personalization pipeline.
• Drive data-driven improvements across the entire quality flywheel, connecting data acquisition, measurement via auto-raters, dashboard monitoring, and automated prompt optimization.
• Collaborate closely with core UXR, Product Management, and Engineering leads to translate qualitative user insights into scalable, quantitative experimentation and product roadmaps.

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