Staff Research Data Scientist, Discover Experience

From the beginning, Google's mission has been to organize the world’s information and make it universally accessible and useful, and we consider it a privilege to be able to help. As technology continues to evolve, our 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.

Discover is a personalized feed that provides users with relevant and meaningful information based on their interests and our understanding of the world’s information, and is part of the broader Search organization at Google. Today, Discover is one of the world’s largest feed products, with more than 500M daily active users. Our vision is to create a feed that is “magically made for you and by you.” And our mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content from the voices they care about.

Our role in Discover Data Science is to drive that mission with a data-informed strategy, identifying opportunities and accelerating execution. The Discover Feed Experiences team owns the user-facing (non-ranking) elements of the Discover product including experience, growth, AI integration into feed and more.

Join Google Search AI and work at the intersection of industry leading

global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google . Responsibilities

• Work with large, complex data sets; solve difficult, non-routine analysis problems; apply advanced problem-solving methods; and conduct analysis that includes data gathering, requirement specification, processing, analysis, ongoing deliverables and presentations.

• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development.

• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design and assess improvements to Google products.

• Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

• Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user-facing products. Application areas include ads quality, search quality, end-user behavioral modeling and live experiments.

Minimum qualifications:

• 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.

Preferred qualifications:

• 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 with strategic analysis, metric reporting and executive presentations.

• Experience with statistical modeling, survey design, data analysis and effective experimental design.

• Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment.

• Ability to apply statistical training to real-world data.

• Excellent communication skills with the ability to extract insights from data and telling convincing stories.