Staff Research Data Scientist Manager, Ecosystem Growth
About the role
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
[https://www.google.com/about/careers/applications/benefits/].
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.
Responsibilities
- Manage a group of data scientists that is part of a broader data science organization in Core Experience.
- Work with cross-functional partners to understand opportunities to improve user experiences.
- Support analysis to identify opportunities for improving user journeys across products.
- Collaborate with data scientists and data engineers to improve decision-making capabilities.
- Provide technical direction and managerial guidance to the data science team.
Qualifications
- Master's degree in a quantitative field.
- 8 years of work experience using analytics or 6 years with a PhD.
- 3 years of experience as a people manager in a technical role.
Benefits
- 20% bonus target
- equity
- comprehensive benefits package
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh