Investigate and analyze patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security. Analyze datasets to identify trends, patterns and anomalies that may indicate abuse within Google Search. Develop and track metrics to measure scraper impact and the effectiveness of anti-scraping defenses. Collaborate with engineering teams to design, test and launch new anti-scraper rules, models and system enhancements.
Investigate proof-of-concept attacks and research reports that identify blind spots and guide the engineering team's development priorities. Evaluate the effectiveness of existing and proposed detection mechanisms, understanding the impact on scrapers and real users. Contribute to the development of signals and features for machine learning models to detect abusive behavior. Develop and maintain threat intelligence on scraper actors, motivations, tactics and the scraper ecosystem.
Job description provided by Google.
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