Data Scientist, Discover Personalization and Quality

Staff Data Scientist, Discover Personalization and Quality

Preferred work location:
Mountain View, CA or New York, NY.

• 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.
• Familiarity with modern Machine Learning and Large Language Model (LLM) techniques.
• Ability to commit to knowledge and learning, respect for science, tolerance for ambiguity, and interest in practical application of science to business.
• Excellent collaboration skills, with the ability to collaborate cross‑functionally and work effectively with Data Scientist (DS), User Experience Researcher (UXR), product and engineering partners.

In this role, you will partner cross‑functionally to drive Google’s mission of organizing the world’s information and making it universally accessible and useful. Your commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users’ information needs.

You will provide users with relevant and meaningful information based on their interests and understanding of the world’s information, aiming to make it effortless for people to catch up on their interests by bringing together informative, entertaining content from voices they care about.

As a part of the Discover Data Science team, you will partner with cross‑functional teams to drive that mission with a data‑informed strategy, identifying opportunities and accelerating execution. You will develop a deep understanding of how to build a personalized retrieval and ranking system that delivers high‑quality, compelling, and valuable content. You will leverage a wide range of analysis tools, including metrics and AI raters, statistical modeling, cohort and exploratory analyses, and incorporate AI‑driven understanding to define the job of a data scientist for the new era.

• Lead core understanding of retrieval and ranking ML systems and collaborate with engineers to deliver significant improvements that accelerate product growth.
• Analyze systems to identify opportunities while maintaining end‑to‑end ownership of research agenda, execution, and insight delivery to leadership.
• Build expertise in retrieval and ranking systems, advocating for changes where needed, and driving cross‑functional alignment.
• Contribute as an individual contributor, as well as a Technical Lead for a small group of data scientists.
• Manage ambiguous data science problems and leverage new technology to produce quantum leaps forward in understanding, such as via LLM‑driven tooling.

US salary: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits.

Google is a global company;
English proficiency is a requirement for all roles unless otherwise stated in the job posting.

Google is proud to be an equal‑opportunity and affirmative‑action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.