Staff Product Data Scientist, Gmail, Chat, Calendar

DataJobs; New York (NY); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health, dental, vision, life, 401(k)

Vacations 20 days/year

Sick time 40 hours/year (+ Seattle 69)

Maternity Leave 28-30 weeks

Baby Bonding Leave 18 weeks

Holidays 13 days/year

Job summary

Google is seeking a Staff Product Data Scientist for the CTM Data Science team, focused on Gmail, Chat, and Calendar. This role builds metric frameworks and scalable analytics systems to support product development and self-serve analytics for a communications platform used by 3B+ users.

Based onsite in New York, NY, you will connect product engineering with central data infrastructure to deliver unified measurement, analytics infrastructure, and AI-aware evaluation methods across Workspace

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Data Science, Engineering, Physics or Economics.
• 10 years of analytics experience solving product or business problems with statistical analysis and coding (Python, R, SQL) OR 8 years with a Master’s degree.
• Master’s degree in a related quantitative field.
• 12 years of analytics experience with statistical analysis and coding (Python, R, SQL).

Responsibilities

• Lead research and development of metric frameworks that quantify user engagement and productivity.
• Develop methodologies to evaluate GenAI and agentic tooling adoption and efficiency in Workspace products.
• Serve as a strategic liaison between product engineering and central data infrastructure teams.
• Marshal resources and influence partner roadmaps while driving multi-team telemetry and infrastructure projects from inception through execution.
• Design and build scalable data models and analytics architecture connecting data across multiple product domains.
• Scope and drive initiatives to enable self-serve analytics.
• Design unified semantic layers, governed metric stores, and executive dashboards, while leading AI-powered self-serve tooling.

Skills

Python

R

SQL

Education

Bachelor's degree

Master's degree

Tools

GenAI

Job description

Google is seeking a Staff Product Data Scientist for the Communications & Time Management (CTM) Data Science team, focused on Gmail, Chat, and Calendar. This role supports product development and self-serve analytics by building metric frameworks and scalable analytics systems for a communications platform used by 3B+ users.

Working onsite in New York, NY, you will connect product engineering with central data infrastructure to deliver unified measurement, analytics infrastructure, and AI-aware evaluation methods across multiple Workspace domains.

Responsibilities

• Lead research and development of metric frameworks that quantify user engagement and productivity.
• Develop methodologies to evaluate the effectiveness, user adoption, and efficiency gains of GenAI and agentic tooling embedded in Workspace products.
• Serve as a strategic connective tissue between product engineering and central data infrastructure teams.
• Marshal resources and influence partner roadmaps while driving complex, multi-team telemetry and infrastructure projects from inception through execution.
• Design and build scalable data models and analytical architecture that connect data across multiple distinct product domains, reducing isolated product-specific silos.
• Scope and drive initiatives to enable 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 solve product or business problems, including statistical analysis and coding (for example, Python, R, SQL), or 8 years work experience with 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, including statistical analysis and coding (for example, Python, R, SQL).

Technologies

• Python, R, SQL
• GenAI, agentic tooling

About the Job

• Support Google’s worldwide user base of more than one billion people.
• Provide quantitative support, market understanding, and strategic perspective to partners across the organization.
• Use analytics expertise to help partners make better decisions and communicate insights through data-backed stories.
• Make recommendations to Engineering and Product Management.
• Collaborate with product and engineering teams to build products enjoyed by 3B+ users.

Application Window

• The application window will be open until at least October 9, 2026.
• The opportunity may remain online based on business needs which may be before or after the specified date.

Preferred Working Location

• Sunnyvale, CA, USA
• Boulder, CO, USA
• New York, NY, USA
• Seattle, WA, USA

Compensation (US)

$192,000 - $278,000 (USD) per year + 20% bonus target + equity + benefits.

Benefits

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• 40 hours/year sick time (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
• 13 paid days per year holidays