Staff Research Data Scientist Manager, Ecosystem Growth

• 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.

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.

• 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.