Senior Staff Data Scientist, Workspace AI Foundations

Google LLC; Sunnyvale, Kirkland (CA, WA); On-site; USD 240,000 - 333,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) match

Paid time off

Job summary

Google Workspace, a core productivity suite, is seeking a Senior Staff Data Scientist to lead measurement frameworks and data pipelines for AI-powered productivity across billions of users. You will partner with senior leaders to shape product strategy, evaluation, and data architecture.

The role emphasizes analytics leadership, modeling, and scalable data infrastructure to improve performance and product decisions across Workspace domains.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10+ years work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 13 years with a Master's degree.

Responsibilities

• Lead horizontal metric and evaluation frameworks quantifying engagement, productivity gains, and end-to-end system quality across GenAI models and AI pillars.
• Deliver clear, executive-ready insights guiding product roadmaps and resource allocation.
• Define upstream logging, scalable data models, ETL pipelines, and self-serve analytics across Workspace domains.
• Drive experimentation, observational causal inference, and rigorous model evaluations using AI models/tools and human rating systems.

Skills

Analytics experience

Statistical analysis

Python

R

SQL

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related field

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

Tools

Python

R

SQL

Job description

Senior Staff Data Scientist, Workspace AI Foundations

X 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: Sunnyvale, CA, USA; New York, NY, USA; Seattle, WA, USA.

• 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.

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

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.