Senior Staff Data Scientist, Workspace AI Foundations
About the role
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering,
Physics, Economics, or a related quantitative field.
- 13 years of work experience using analytics to solve product or business
problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
(or 10 years work experience and a Master's degree).
PREFERRED QUALIFICATIONS:
- Master's degree in Statistics, Mathematics, Data Science, Engineering,
Physics, Economics, or a related quantitative field.
- 12 years of work experience using analytics to solve product or business
problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
ABOUT THE JOB:
Google Workspace is a smart, simple, and secure suite of productivity
apps—including Gmail, Docs, Drive, Calendar, Sheets, Meet, and Chat. Designed to
simplify workflows and boost team productivity, Workspace features real-time
collaboration at its core, allowing information to flow freely across devices
and teams so that great ideas are never lost.
We empower Workspace with AI, guiding products like Gmail, Docs, Sheets, Slides,
Drive, Meet, Chat, and beyond to become truly intelligent. We deliver actionable
insights, define the critical metrics, and measure quality, pinpointing the
highest-impact opportunities for the entire organization.
As a Staff/Senior Staff Product Data Scientist on the Workspace GenAI
Foundations team, you will act as a technical leader and strategic advisor at
the intersection of product strategy, model evaluation, and data architecture
across our horizontal AI pillars—spanning Agentic Ecosystems, AI Platform,
Workspace Intelligence, and Abuse & Safety Protections. Partnering closely with
senior Product, Engineering, and Research leaders across Workspace and DeepMind,
you will pioneer the measurement frameworks, experimentation methodologies, and
foundational data pipelines that shape AI-powered productivity and agentic
experiences for over 3 billion users.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Lead horizontal metric and evaluation frameworks that quantify engagement,
productivity gains, and end-to-end system quality across GenAI models,
agentic tooling, context grounding, and safety.
- Deliver clear, executive-ready insights and recommendations that guide
product roadmaps, organizational transitions, and resource allocation.
- Work on challenges across behavioral, telemetry, and evaluation datasets to
identify user adoption, quality or reliability gaps, latency/cost trade-offs,
and new methodologies to improve performance.
- Define upstream logging and telemetry standards, design scalable data models
and ETL pipelines, and build unified semantic layers and self-serve analytics
that connect data across Workspace domains.
- Drive experimentation, observational causal inference, and rigorous model
evaluations—leveraging AI models/tools as well as human and automated rating
systems.
Responsibilities
- Lead metrics and evaluation frameworks for engagement, productivity, system quality, and safety across GenAI products.
- Deliver executive-ready insights and recommendations to guide product roadmaps, organizational decisions, and resource allocation.
- Analyze behavioral, telemetry, and evaluation data to identify adoption, quality, reliability, latency, and cost opportunities.
- Define telemetry standards, scalable data models, ETL pipelines, semantic layers, and self-serve analytics.
- Drive experimentation, causal inference, and model evaluation using AI tools and human or automated rating systems.
Qualifications
- Bachelor's degree in a quantitative field or equivalent experience.
- 13 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding in Python, R, or SQL; alternatively, 10 years with a master's degree.
- Master's degree in a quantitative field preferred.
- Experience in product analytics, statistical analysis, and coding preferred.
Benefits
- 25% target bonus
- Equity
- Benefits
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
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.