Staff Research Data Scientist Manager, Ecosystem Growth

Google; San Jose (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Sick time

Parental leave

Holidays

Job summary

Google is seeking a senior data science leader to guide a team delivering quantitative analysis across the Google ecosystem, improving user experiences and engagement. You will partner with a broad set of teams to translate analytics into product improvements.

The role emphasizes people leadership, technical direction, and collaboration with cross-functional partners to drive meaningful outcomes at scale.

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.
• 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.

Responsibilities

• Learn more about benefits at Google.
• 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, within the People Platform pillar, to understand opportunities to improve connection, sharing, and identity for Google users.
• Support our team in carrying out analysis to identify opportunities for improving user journeys across products in the Google ecosystem.
• Collaborate with data scientists and data engineers to improve and mature the organization's capacity to make data-driven decisions.
• Serve as leader for a group of data scientists, providing technical direction and managerial guidance.

Skills

Analytics

Python

R

SQL

Data analysis

People management

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

PhD degree in statistics or other advanced quantitative degree

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; Kirkland, WA, USA

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

Responsibilities

Learn more about benefits at Google.

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.