Trust & Safety Analytics Engineer

Google; New York (NY); On-site; USD 132,000 - 189,000; Full time

Job summary

Google in New York, NY is seeking an Engineering Analyst in Trust & Safety for Ads, focused on adversarial actor detection and data-driven insights to safeguard users across Google Ads. You will collaborate with product managers and engineers to develop scalable defenses and conduct rigorous data work.

You will apply ML techniques, lead investigations, and design experiments to improve protection while balancing speed and safety in a dynamic environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
• Master's degree in a quantitative discipline (preferred).
• 2 years of experience with SQL, R, Python, or C++ (preferred).
• 2 years of experience with machine learning systems (preferred).
• Strong problem-solving and written/verbal communication skills (preferred).

Responsibilities

• Lead in-depth search investigations into complex TTPs to track actors and disrupt fraud rings targeting Google Ads.
• Apply advanced statistical methods and technical analysis to uncover abuse vectors and build predictive models for detection systems.
• Drive rapid response for high-severity adversarial incidents, perform root cause analyses, and design anti-abuse experiments.
• Participate in on-call duties, including weekends/holidays, and handle sensitive content with care.

Skills

Data analysis

Project management

Problem solving

Communication

Machine learning

Education

Bachelor's degree or equivalent practical experience

Master's degree in a quantitative discipline

Tools

SQL

R

Python

C++

Job description

Google in New York, NY is seeking an Engineering Analyst in Trust & Safety for Ads, focused on adversarial actor detection and data-driven insights to safeguard users across Google Ads. You will collaborate with product managers and engineers to develop scalable defenses and conduct rigorous data work.

You will apply ML techniques, lead investigations, and design experiments to improve protection while balancing speed and safety in a dynamic environment.