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
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
talent, coach senior ICs and emerging leaders, and build a culture of technical excellence, collaboration, and impact.
support with investments in metrics, data foundations, and methods.
Make sure the team reports, analyzes, and forecasts key metric trends and recommends ways to improve them.
evaluate model and feature quality, and quantify the impact of AI on user productivity.
influence, prioritize, and support product strategy.
Physics, Economics, or a related quantitative field.
problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience with a Master's degree).
Physics, Economics, or a related quantitative field.
problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
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checked 4 days agoSource: the company job board. We last checked this job 8 days ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now.
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This base pay is above the median for staff data science jobs in the Bay Area.
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