Staff Product Data Scientist — AI-Driven Product Analytics

Google LLC; Kirkland (WA); In loco; USD 192.000 - 278.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health, dental, vision, and life-insur

401(k) with company match

PTO: 20 days/year

Sick time: 40 hours/year

Maternity leave: 28-30 weeks

Baby bonding leave: 18 weeks

13 paid holidays

Descrizione del lavoro

Google LLC in Kirkland, WA is seeking a Staff Product Data Scientist to quantify engagement and productivity across Gmail, Chat, and Calendar. The role focuses on metric frameworks, analytical architecture, and AI-powered self-serve analytics that connect product teams with central data infrastructure.

Responsibilities include developing measurement approaches for GenAI tooling, building analytics foundations, and enabling cross-team telemetry and dashboards.

Competenze

• Bachelor’s degree in a quantitative field is required.
• 10+ years applying analytics to product/business problems, or 8+ years with a Master’s degree.
• Experience with Python, R, or SQL for statistical analysis.

Mansioni

• Lead research and development of metric frameworks to quantify user engagement and productivity.
• Develop methodologies to evaluate GenAI and agentic tooling within Workspace.
• Serve as a strategic link between product engineering and central data infrastructure.
• Mobilize resources and influence partner roadmaps for telemetry and infrastructure work.
• Design and build scalable data models and analytical architecture across product domains.
• Scope and drive initiatives to support self-serve analytics.
• Design unified semantic layers, metric stores, and executive dashboards with AI-powered tooling.

Conoscenze

Statistical modeling

Data analytics

Data visualization

Formazione

Bachelor’s degree in Statistics/Mathematics/Data Science/Engineering

Master’s degree preferred

Strumenti

Python

R

SQL

Descrizione del lavoro

Google LLC in Kirkland, WA is seeking a Staff Product Data Scientist to quantify engagement and productivity across Gmail, Chat, and Calendar. The role focuses on metric frameworks, analytical architecture, and AI-powered self-serve analytics that connect product teams with central data infrastructure.

Responsibilities include developing measurement approaches for GenAI tooling, building analytics foundations, and enabling cross-team telemetry and dashboards.