In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.
Requirements
- Experience with Data Analysis, Statistical Analysis and Data Science.
- Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection, Search Engine Optimization (SEO).
- Experience with SQL, JavaScript, Python, or C++.
- Experience with machine learning systems and concepts.
- Experience with Data Analysis, Data Science, Statistical Analysis, Abuse Detection, Spam, Web Development, Project Management, Fraud Detection.
Responsibilities
- 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.
Other
- 7 years of experience in managing projects and defining project scope, goals, and deliverables.
- Develop and maintain threat intelligence on scraper actors, motivations, tactics and the scraper ecosystem.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
