Staff Product Data Scientist, Gmail, Chat, Calendar

Role Overview: As a Staff Product Data Scientist, you will develop measurement approaches that assess user engagement and productivity, including methodologies for evaluating GenAI and agentic tooling embedded in Workspace products. You will also build the analytics foundations that allow self-serve reporting and next-generation AI-powered tooling across product domains.

Responsibilities: Lead research and development of metric frameworks to quantify user engagement and productivity. Develop new methodologies to evaluate effectiveness, user adoption, and efficiency gains from GenAI and agentic tooling within Workspace. Serve as a strategic link between product engineering teams and central data infrastructure teams. Mobilize resources and influence partner roadmaps to deliver multi-team telemetry and infrastructure work from planning through execution. Design and build scalable data models and analytical architecture that integrate data across multiple product domains, avoiding isolated product silos. Scope and drive initiatives to support self-serve analytics. Design unified semantic layers, governed metric stores, and executive dashboards, while leading next-generation AI-powered self-serve tooling.

Requirements: Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to address product or business problems, including statistical analysis and coding in Python, R, or SQL; alternatively, 8 years of relevant work experience plus a Master’s degree. TechnologiesPython R SQL Compensation and LocationLocation: Kirkland, WA (onsite)

Salary: USD 192,000 - 278,000 per year

Benefits: Health, dental, vision, and life insurance, plus disability coverage Retirement benefits: 401(k) with company match

Paid time off: 20 days of vacation per year, accruing at 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: 28-30 weeks (Short-Term Disability + Baby Bonding) Baby bonding leave: 18 weeks

Holidays: 13 paid days per year

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, including statistical analysis and coding (Python, R, SQL). Application Location PreferenceBy applying, you will have an opportunity to share your preferred working location from: Sunnyvale, CA; Boulder, CO; New York, NY; Seattle, WA; Kirkland, WA; San Francisco, CA.