Product Data Scientist, Gmail, Chat, Calendar

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.

• 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.

• 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
  ).

• Python, R, SQL
• GenAI, agentic tooling

• 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
  .

• 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.

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

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