Data Science Manager, Trust & Safety — Lead & Impact

Google; Atlanta (GA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days

Job summary

Google is seeking a Data Science Manager in Trust & Safety to lead a global team of data scientists and analysts. You will drive strategic roadmaps, partner across teams, and translate complex analytical work into business impact to keep users safe at scale.

You will collaborate with engineers and abuse analysts, shaping initiatives across AI safety, data utilities, and operational excellence, while building a culture of growth and accountability.

Qualifications

• 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.

Responsibilities

• Lead a team of data scientists and analysts across Americas (AMER) and EMEA regions.
• Define and drive team roadmap and partnerships, identifying areas where data science can significantly multiply Trust & Safety’s impact.
• Partner effectively with cross-functional teams and translate technical concepts to business impact.
• Articulate the team’s work to a cross-functional audience, aligning it with business goals.
• Identify and support data science opportunities, including AI testing standards and responsible AI.

Skills

Analytics

Coding

People management

Education

Master's degree in quantitative field

PhD degree

Tools

Python

R

SQL

Job description

Google is seeking a Data Science Manager in Trust & Safety to lead a global team of data scientists and analysts. You will drive strategic roadmaps, partner across teams, and translate complex analytical work into business impact to keep users safe at scale.

You will collaborate with engineers and abuse analysts, shaping initiatives across AI safety, data utilities, and operational excellence, while building a culture of growth and accountability.