Company Overview
At Google, we believe that no problem is truly solved until it’s solved for everyone. Our teams create products that open doors and expand opportunities—locally and globally. We value bold ideas, diverse perspectives, and a fearless approach to innovation. Bring your unique background, creativity, and determination. Together, we’ll build solutions that benefit everyone, everywhere.
About the Role
As a Data Scientist at Google, you’ll bring analytical rigor, business acumen, and technical expertise to support strategic decision-making across the Workspace product suite—including Gmail, Calendar, Meet, Docs, Sheets, Slides, and Drive. With over 3 billion active users globally, Workspace is transforming how people work, communicate, and collaborate in a hybrid world.
In this role, you’ll partner with Engineering, Product, and cross-functional teams to develop insights that shape product strategy and improve user experience. You will not only analyze complex data sets, but also craft compelling stories that influence key decisions across the organization.
Minimum Qualifications
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Master’s degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience
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7+ years of experience in statistical data analysis
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6+ years of experience conducting A/B tests and interpreting experimental results
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5+ years of experience in data mining, querying, and leading investigative projects
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3+ years of experience developing metrics or evaluating product/program performance
Preferred Qualifications
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Master’s degree or higher in Statistics, Mathematics, Data Science, Physics, Economics, or Engineering
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12+ years of experience solving business or product problems through statistical analysis and coding (e.g., Python, R, SQL)
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Strong leadership in cross-functional environments and experience mentoring or guiding teams
Responsibilities
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Conduct advanced data analyses using tools like SQL, Python, and R
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Proactively identify areas for improvement, design experiments, and propose scalable solutions
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Own and drive end-to-end data science projects—from defining problems and building metrics to communicating results to stakeholders
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Build statistical models, visualize results, and translate complex insights into clear, actionable recommendations
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Manage cross-functional project timelines, contribute to operational process improvements, and shape product strategy
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Provide thought leadership and help mentor others in data science best practices
About Google Workspace
Workspace is Google’s suite of cloud-based productivity tools used by billions of people worldwide. It redefines communication and collaboration—at home, at school, and at work. As hybrid and remote work continue to evolve, Workspace plays a critical role in shaping the future of how the world works together.
Why Google?
Google is driven by a simple but powerful idea: a problem isn’t truly solved until it’s solved for everyone. We encourage bold thinking, value diverse perspectives, and welcome individuals who bring their unique experiences to help build inclusive and impactful technology.
Compensation & Benefits
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U.S. Base Salary Range: $183,000 – $271,000
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Additional compensation may include: bonus, equity, and comprehensive benefits
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Final compensation is based on factors such as location, skills, experience, and education. Your recruiter will provide more specific information during the hiring process.