Research and Development Analyst, Trust and Safety Monetization

Job description

Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products. Partner closely with engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation. Drive full lifecycle projects across product, engineering, and trust and safety teams to prevent abuse by improving policies and closing product vulnerabilities. Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner. Be exposed to potentially sensitive content or situations and possibly graphic, controversial, and/or upsetting topics or content as part of the role. Minimum 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 with statistical and quantitative modeling or fraud and risk management. Preferred Qualifications: Experience in the digital advertising industry in a technical role. Experience delivering experimental research or security and reverse engineering. Experience applying ML/AI in industry settings. Excellent communication and collaboration skills to communicate technical concepts with and influence cross-regional and cross-functional stakeholders at all levels. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.