Product Data Scientist, Workspace Collab

Locations:
Seattle, WA, USA;
New York, NY, USA; +1 more.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, available to all eligible U.S. 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 per year (increased to 69 hours per 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

By applying to this position, you will have an opportunity to share your preferred working location from the following:
Seattle, WA, USA;
New York, NY, USA;
Sunnyvale, CA, 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 of 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, performing statistical analysis, and coding (e.g., Python, R, SQL).

The Workspace Collab Data Science team empowers product teams for Drive, Docs, Sheets, Slides, Vids (and more) through development of key metrics, data-driven insights, modeling, experimentation and other forms of causal inference to grow product adoption and AI usage. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192,000 - $279,000 (USD) + 20% bonus target + equity + benefits

• Define, own and evolve product success metrics. Report, analyze and forecast trends of key product metrics and make recommendations to improve them.
• Lead the design, analysis, and interpretation of product experiments. Proactively perform data exploration to understand user behavior and identify opportunities for improving and growing Workspace products.
• Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product questions.
• Partner with Product, Engineering, UX and cross‑functional teams to influence, prioritize and support product strategy.
• Deliver effective presentations of data‑driven insights and recommendations to multiple levels of stakeholders.

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.