Staff Research Data Scientist Manager, Ecosystem Growth

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.

• 3 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

• PhD degree in statistics or other advanced quantitative degree with significant relevant statistics experience.

• 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 in working with personalization and cross product.

• Experiences with driving product growth and engagement.

About the job:

Our mission is to seamlessly connect people, products, and AI experiences so more users unlock the full value of Google, which means getting the best of both individual first-party (1P) products—via the most relevant features and content—and the ecosystem through connected, helpful cross-product experiences. The Ecosystem Group (EG) drives this mission across three pillars: Ecosystem Experiences, focusing on user-facing growth touchpoints and cross-app journeys; the Notifications Platform (Google and Notifications Team, GaNT), managing Google’s centralized notification and communication infrastructure (Google Notifications Platform, GNP) across core products including Google Search, YouTube, Google Chrome, and Gemini; and the People Platform, delivering the foundational social graph, identity, and connectivity infrastructure across Google. The People Platform team powers all people-centric interactions by developing and maintaining the central People Graph, robust contact management solutions, insightful analytics, and essential sharing infrastructure, leveraging AI to enable first-party products to build rich, deeply personalized user experiences rooted in a consistent understanding of personal relationships and context.

In this role, you will lead and guide a team of data scientists delivering quantitative analysis to improve user experience quality across the ecosystem, supporting decisions that drive deeper engagement and meaningful user outcomes.

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:

• Manage a group of data scientists that is part of a broader data science organization in Core Experience that aims to provide analysis capabilities to the Ecosystem Growth team.

• Work with cross-functional partners, primarily within the People Platform pillar of the broader Growth, Identity, and Ecosystems (GI&E) organization, to understand opportunities to improve the connection, sharing, and identity experience for Google users.

• Support our team in carrying out analysis to support the People Platform organization in identifying the best opportunities for improving user journeys across products in the Google ecosystem.

• Collaborate with data scientists and data engineers to improve and mature the broader organization's capacity to quickly make quality, data-driven decisions.

• Serve as leader for a group of data scientists, providing both technical direction and managerial guidance.