Investigate and analyze complex patterns of data exfiltration and abuse on Google Maps, utilizing data-driven insights to develop and propose effective countermeasures. Analyze large-scale logs data from various Geo surfaces to identify, understand, and monitor inorganic traffic, scraping activities, and abuse patterns.

Design, test, and launch new anti-scraping rules, models, and system enhancements tailored to Geo's products and infrastructure. Evaluate the effectiveness of detection mechanisms, understanding the impact on both scrapers and legitimate user experience.

Develop metrics to measure scraper impact on Geo services and the effectiveness of anti-scraping defenses. Contribute to the development of signals and features for ML models to detect scraping attempts.

Investigate proof-of-concept attacks and research reports that identify blind spots and guide the team's development priorities.

Develop threat intelligence on actors, motivations, tactics, and the ecosystem targeting Geo data.

Bachelor's degree or equivalent practical experience.

7 years of experience in managing projects and defining project scope, goals and deliverables.

7 years of experience in a data-intensive role such as threat intelligence, data science, trust & safety, or fraud analysis.

7 years of experience in data analysis including identifying trends, generating summary statistics and drawing insights from quantitative and qualitative data.

Experience with threat intelligence, anti-abuse, security, network analysis, or fraud detection.