Senior Data Scientist, Search Personalization

About the job

The team is building the future of Personal Search — a next-generation product that seamlessly bridges the gap between private data and the web. Our mission is to unlock new information retrieval, allowing users to query their own search memory explicitly or rely on intelligent, implicit assistance for highly complex tasks.

In this new era of AI, we are integrating advanced GenAI personalization directly into Search. By reducing cognitive load, saving time, and introducing moments of true user delight, we are fundamentally reshaping how people interact with information.

Responsibilities

• Design, validate, and scale the quantitative metrics framework for conversational personalization quality, interactive memory, and proactive user nudges.
• 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 (Auto-raters) within the personalization pipeline. Drive data-driven improvements across the entire quality flywheel, seamlessly connecting data acquisition, measurement via auto-raters, dashboard monitoring, and automated prompt optimization.
• Partner closely with core UXR, Product Management, and Engineering leads to translate qualitative user insights into scalable, quantitative experimentation and product roadmaps.

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• Experience in experimental design (A/B testing), metric definition, and behavioral analysis for complex, interactive user flows.
• Experience partnering with engineering teams to build data/evaluation pipelines, with knowledge of model-based evaluation or LLM frameworks.
• Ability to operate autonomously in a highly ambiguous domain, guiding cross-functional strategy and translating high-level product goals into data science initiatives.

Pay

• US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Schedule

• Full-time

Benefits

• Learn more about benefits at Google.