Senior Engineering Traffic Analyst, Search, Anti-scraper

About the job

As a traffic integrity analyst, you will be at the forefront of protecting Google Search. You will use your analytical skills to understand the evolving bot and scraper landscape, identify new abuse and inorganic traffic patterns, and measure the effectiveness of our protections and suggest improvements. You will collaborate closely with software engineers, data scientists, and site reliability engineers to develop, deploy, and refine countermeasures. You will identify abuse trends, track threat actors and measure the effectiveness of our protections against bots, as well as impact on real users through extensive data analysis and ML/AI.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. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Investigate and analyze patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security, and 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, and collaborate with engineering teams to design, test, and launch new anti-scraper rules, models, and system enhancements.
• Review 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, and develop and maintain threat intelligence on scraper actors, motivations, tactics, and the scraper ecosystem.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 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.

Preferred qualifications:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering).
• 5 years of experience in a data-intensive role such as threat intelligence, data science, trust and safety, or fraud analysis.
• Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection, and Search Engine Optimization (SEO).
• Experience with SQL, JavaScript, Python, or C++.
• Experience with machine learning systems and concepts.
• Experience in data analysis, data science, statistical analysis, abuse detection, spam, web development, project management, and fraud detection.