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.

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.