Staff Product Data Scientist - Monetization & Growth

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

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.