Google Search is facing complex patterns of abuse, and the company needs to develop countermeasures and enhance platform security to maintain a universally accessible and useful experience for billions of users.
Requirements
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
- Experience with Statistical Analysis, Data Science and Data Analysis.
- Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection, Search Engine Optimization (SEO).
- Experience with SQL, JavaScript, Python, or C++.
- Experience of machine learning systems and concepts.
- Experience in Data Analysis, Data Science , Statistical Analysis, Abuse Detection, Spam, Web Development, Project Management, Fraud Detection.
Responsibilities
- Investigate and analyze complex 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 both scrapers and real users.
- Contribute to the development of signals and features for machine learning models to detect abusive behavior.
Other
- Bachelor's degree or equivalent practical experience
- Make an impact on billions of people globally.
- The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits.
