Staff Product Data Scientist, Gmail, Chat, Calendar

Google LLC; Kirkland (WA); Sur place; USD 192 000 - 278 000; Plein temps

Avantages offerts par ce poste

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

Résumé du poste

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.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Statistical modeling

Data analytics

Data visualization

Formation

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

Master’s degree preferred

Outils

Python

R

SQL

Description du poste

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

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.

Technologies

• Python
• R
• SQL

Compensation and Location

• Location: 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 Preference

By 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.