Staff Product Data Scientist, Workspace Monetization

Google; Sunnyvale (CA); Hybrid; USD 183,000 - 271,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement Benefits: 401(k)

20 days of vacation per year

Paid sick time: 40 hours per year

Maternity leave: 28–30 weeks

18 weeks baby bonding leave

13 paid holidays per year

Job summary

Google is seeking a Staff Product Data Scientist for the Workspace Monetization Product team, based in Sunnyvale, CA. In this advanced role, you'll partner with various teams to influence strategies that impact millions globally. The position offers a competitive salary range of $183,000–$271,000 plus bonuses and includes comprehensive benefits such as health insurance and paid time off.

We welcome experienced professionals with a strong background in analytics and coding to apply, contributing to a culture of innovation and excellence.

Qualifications

• 10 years of experience using analytics to solve product problems or 8 years with a Master's degree.
• Strong coding skills in Python, R, or SQL.
• Experience in statistical analysis.

Responsibilities

• Act as thought partner to Engineering and Product Management.
• Conduct analyses to identify opportunities for growth.
• Communicate findings to stakeholders.
• Own project outcomes with data extraction and implementation.
• Manage ambiguous problems by developing recommendations.

Skills

Statistical analysis

Data visualization

Coding (Python, R, SQL)

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Job description

Staff Product Data Scientist, Workspace Monetization

Company: Google

Locations: Sunnyvale, CA; Kirkland, WA; New York, NY

Job Level: Advanced

About the job

Google Workspace is a smart, simple, and secure suite of productivity apps—including Gmail, Docs, Drive, Calendar, Sheets, Meet, and Chat. Designed to simplify workflows and boost team productivity, Workspace features real‑time collaboration at its core, allowing information to flow freely across devices and teams so that great ideas are never lost.

As a Staff Data Scientist on the Workspace Monetization Product team, you will play a key role in growing the business and impacting millions of users worldwide. In this role, you will partner with product and engineering teams to shape business generation and growth strategies.

The US base salary range for this full‑time position is $183,000–$271,000 plus bonus, equity, and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

Responsibilities

• Act as a thought partner to Engineering and Product Management leads, providing data‑driven perspectives on product direction and opportunities. Oversee the contributions of others and develop colleagues’ capabilities within your area of specialization.
• Conduct deep‑dive analyses to identify the most significant opportunities for growing Workspace business and user value.
• Communicate complex findings and recommendations clearly and effectively to technical and non‑technical stakeholders, including executive leadership.
• Own project outcomes by covering problem definition, metrics development, data extraction and manipulation, visualization, and the implementation of statistical models.
• Lead and manage problems that may be ambiguous or lack clear precedent by framing hypotheses and making recommendations that combine problem‑solving and product‑specific expertise.

Minimum 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 of 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).

Benefits

• 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 per year (statutory, where applicable); 5 days per event (discretionary)
• Maternity Leave (Short‑Term Disability + Baby Bonding): 28–30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Employment Information

To apply for this position, please indicate a preferred working location from the following: Sunnyvale, CA; Kirkland, WA; New York, NY.

Information and Privacy

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Equal Employment Opportunity

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

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 or 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. For more information, see Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.