Senior 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).

• 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).

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 Deep Mind, 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.

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…