Deliver actionable insights into ads account takeover and abuse threats while optimizing data collection and quality processes.
Develop early warning alerts for evolving threats by researching attacker operations and analyzing their interactions with our systems.
Lead Google Ads incident responses, including severe escalations with partner teams, providing intelligence on adversarial campaigns and actors.
Collaborate with India-based vendors to scale ads account protection, including escalations and quality control.
Provide training and advocate for ads safety tooling enhancements.
Review graphic or offensive content and perform occasional on-call duties, including weekends and holidays.
Job Requirements
Bachelor's degree or equivalent practical experience in a quantitative discipline.
Minimum 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications include a Master's degree in a quantitative discipline, 2 years of experience with one or more programming languages such as SQL, R, Python, or C++, and 2 years of experience with machine learning systems.
Excellent written and verbal communication skills are required.
Ability to work proactively, motivated, organized, responsible, innovative, and well in a fast-paced, global, cross-functional, and team-oriented environment.
Strong technical know-how and effective communication skills are essential.
Ability to build, leverage, and evaluate models and operations to solve cyber security and abuse problems.
A strong understanding of trust and safety principles is necessary.
Experience working with cross-functional teams, including engineering and product management, is expected.
Demonstrated ability to adapt quickly to new technologies and processes.
Job Classification
Industry: InternetFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Database AnalystEmployement Type: Full time