Staff Product Data Scientist, Gmail, Chat, Calendar

Google LLC; Seattle (WA); Hybrid; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health & dental insurance

401(k) with match

Paid time off 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave

13 holidays

Job summary

Google LLC is hiring a Staff Product Data Scientist for Gmail, Chat, and Calendar to support the CTM Data Science team. You will collaborate with product and engineering to build analytics for billions of users, delivering quantitative insights and strategic recommendations to improve products.

The role emphasizes designing scalable data models, self-serve analytics, and cross-functional partnership across Workspace products. Competitive benefits are provided in a US-based role.

Qualifications

• 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, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and 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, performing statistical analysis, and coding (e.g., Python, R, SQL).

Responsibilities

• Lead the research and development of metric frameworks that quantify user engagement and productivity.
• Pioneer new methodologies to evaluate the effectiveness, user adoption, and efficiency gains of GenAI and agentic tooling embedded within Workspace products.
• Act as the strategic connective tissue between product engineering and central data infrastructure teams.
• Design and build scalable data models and analytical architecture that connect data across multiple distinct product domains.
• Scope and drive initiatives to enable self-serve analytics and dashboards.

Skills

Python

R

SQL

Statistics

Education

Bachelor's degree in Statistics/Data Science/Math

Master's degree (preferred)

Job description

Staff Product Data Scientist, Gmail, Chat, Calendar

Share Staff Product Data Scientist, Gmail, Chat, Calendar

corporate_fare Google place Sunnyvale, CA, USA ; Boulder, CO, USA ; +2 more

X The application window will be open until at least October 9, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 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 (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Boulder, CO, USA; New York, NY, USA; Seattle, WA, USA.

• 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, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree).

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, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The Communications & Time Management (CTM) Data Science team shapes decision-making and provides actionable insights to guide product development for Gmail, Chat, and Calendar.
As a Data Scientist/Analytics Engineer, you will work closely with product and engineering teams to build products enjoyed by 3B+ users.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The Communications & Time Management (CTM) Data Science team shapes decision-making and provides actionable insights to guide product development for Gmail, Chat, and Calendar.
As a Data Scientist/Analytics Engineer, you will work closely with product and engineering teams to build products enjoyed by 3B+ users.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

• Lead the research and development of metric frameworks that quantify user engagement and productivity. Pioneer new methodologies to evaluate the effectiveness, user adoption, and efficiency gains of GenAI and agentic tooling embedded within Workspace products.
• Act as the strategic connective tissue between product engineering and central data infrastructure teams. Rather than just identifying gaps, you will marshal resources, influence partner roadmaps, and drive complex, multi-team telemetry and infrastructure projects from inception to execution.
• Design and build scalable data models and analytical architecture that connect data across multiple distinct product domains, ensuring cohesion rather than isolated, product-specific silos.
• Scope and drive initiatives to enable self-serve analytics. Design unified semantic layers, governed metric stores, and high-impact executive dashboards, while leading next-generation AI-powered self-serve tooling.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.