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# Research Data Science Manager, Trust and Safety

- **Company:** Google LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Salary:** $207,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, R (Programming Language), Python (Programming Language), SQL Databases
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f1aae57376391c5c

## About the Role

* Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
 * 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree., * 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
 * 3 years of experience as a people manager within a technical leadership role.

## Description

As a Data Science Manager in Trust & Safety, you will work with a global team of data scientists and analysts and drive strategic roadmaps and partnerships across the team pillars and foster growth and happiness of a high performing team. You are an experienced data science leader, who will grow in a cross-product environment, enjoys problem solving and understands how to use the power of data science to quantify and optimize operations. You will collaborate and communicate effectively with a multi-disciplinary team of engineers and abuse analysts on a wide range of problems. You will use your communications skills to represent the team with a global audience, translating the team's technical work and connecting it to business impact. Individual pay is determined by factors including job-related skills, experience, and relevant education or training., * Lead a team of high performing data scientists and analysts across Americas (AMER) and EMEA regions. Foster team growth, culture, innovation and collaboration for a team who consistently partners with other teams to drive impact.

 * Define and drive team roadmap and partnerships, identifying areas where data science can significantly multiply Trust & Safety's impact in keeping users safe and prioritizing team's engagements across numerous opportunities.
 * Partner effectively with teams of cross-functional disciplines and focus areas.
 * Articulate the team's work and deliverables to the cross-functional audience, translating technical concepts to business impact.
 * Identify and support the team in solving for both existing and emerging data science opportunities, for example in AI testing standards, responsible AI and risk identification and quantification.