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$207k–$300k/yr
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$163k–$236k/yr
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Ropes & Gray LLP
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Los Angeles, California, United States · Hybrid
$150k–$200k/yr
Mid level
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San Jose, California, United States · On-site
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Staff Research Data Scientist Manager, Ecosystem Growth
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$207k–$300k/yr
Full-time
postgraduate degree
Bonus, Equity, Health Insurance
Posted 8d ago
~40 hrs/week
Responsibilities
Lead a team of data scientists to deliver quantitative analysis that improves user experience and engagement across Google's ecosystem. Collaborate with cross-functional partners to identify opportunities for enhancing connection, sharing, and identity experiences.
Requirements
Requires a Master's degree in a quantitative field and at least 8 years of relevant work experience, including 3 years in a technical leadership role. A PhD is preferred, along with extensive experience in product analytics and cross-product personalization.
Full job description
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.
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.
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
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
How much do Data & Analytics jobs in San Jose, CA pay?
Based on 939 listings with disclosed salaries, most data & analytics jobs in San Jose, CA pay between $110k–$293k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in San Jose, CA right now?
There are currently 1,040 open data & analytics positions in San Jose, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in San Jose, CA?
Companies currently hiring include Adobe, Capital One, AMD, Google, WD, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in San Jose, CA?
Yes — 365 of the 1040 open data & analytics positions offer remote or hybrid work (68 remote, 297 hybrid).
How do I apply for Data & Analytics jobs in San Jose, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.