Senior Staff Data Science Manager, Gmail - United States

Google; Sunnyvale, Boulder (CA, CO); Sur place; USD 240 000 - 333 000; Plein temps

Avantages offerts par ce poste

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year

Maternity Leave: 28–30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Résumé du poste

Google LLC in Sunnyvale, CA, is seeking a Senior Staff Data Science Manager for Gmail. You will lead a team of data scientists, define Gmail's success metrics, and guide AI strategy to improve user productivity through data-driven insights.

You will collaborate with Product, Engineering, UX and cross-functional partners to prioritize initiatives, drive impact, and grow technical leadership within the team. This is a high-impact, leadership role within Google Cloud’s workspace data science family.

Qualifications

• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience with a Master's degree).
• 5 years of experience as a people manager within a technical leadership role.
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Responsabilités

• Lead, develop, and grow a team of data scientists. Hire and retain top talent, coach senior ICs and emerging leaders, and build a culture of technical excellence, collaboration, and impact.
• Set the data science goal and roadmap for Gmail. Balance urgent product support with investments in metrics, data foundations, and methods.
• Define, own, and evolve Gmail's success metrics, including its north star. Make sure the team reports, analyzes, and forecasts key metric trends and recommends ways to improve them.
• Shape the strategic roadmap for Gmail AI. Identify high-value use cases, evaluate model and feature quality, and quantify the impact of AI on user productivity.
• Partner with Product, Engineering, UX, and cross-functional leaders to influence, prioritize, and support product strategy.

Connaissances

Python

R

SQL

Formation

Bachelor's degree in Statistics/Mathematics/Data Science/Engineering/Physics/Economics or related field

Master's degree in Statistics/Mathematics/Data Science/Engineering/Physics/Economics or related field

Description du poste

Senior Staff Data Science Manager, Gmail - United States

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Google Sunnyvale, CA, USA ; Boulder, CO, USA ; +4 more

The application window will be open until at least November 17th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 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; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience with a Master's degree).
• 5 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 6 years of experience as a people manager within a technical leadership role.

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 Workspace Communications and Time Management (CTM) Data Science team shapes decision-making and provides actionable insights to guide product development and strategy for popular Google products like Gmail, Chat, and Calendar.

Gmail is Workspace's largest product, used by billions of people around the world. It is quickly evolving into an AI-first experience powered by Gemini.

As the Data Science Manager for Gmail, you will lead a team of data scientists and serve as Gmail's quantitative voice. You will lead the data science team for Gmail, Workspace's largest product, shape its core experience and AI strategy through data-driven insights.

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: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

• Lead, develop, and grow a team of data scientists. Hire and retain top talent, coach senior ICs and emerging leaders, and build a culture of technical excellence, collaboration, and impact.
• Set the data science goal and roadmap for Gmail. Balance urgent product support with investments in metrics, data foundations, and methods.
• Define, own, and evolve Gmail's success metrics, including its north star. Make sure the team reports, analyzes, and forecasts key metric trends and recommends ways to improve them.
• Shape the strategic roadmap for Gmail AI. Identify high-value use cases, evaluate model and feature quality, and quantify the impact of AI on user productivity.
• Partner with Product, Engineering, UX, and cross-functional leaders to influence, prioritize, and support product strategy.

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.

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.