Search Traffic Integrity Engineering Analyst

Google•Zurich, CA

3d•$188,000 - $274,000

About The Position

As a Traffic Integrity Analyst, you will help protect Google Search by analyzing the evolving bot and scraper landscape, identifying abuse and inorganic traffic patterns, measuring the effectiveness of protections, and recommending improvements. You will collaborate with Software Engineers, Data Scientists, and Site Reliability Engineers to develop, deploy, and refine countermeasures. The role involves identifying abuse trends, tracking threat actors, and assessing the effectiveness of bot protections and their impact on real users through data analysis and ML/AI. The Search team works to address complex engineering challenges and expand infrastructure while maintaining a universally accessible and useful search experience. Individual pay is determined by job-related skills, experience, and relevant education or training. The stated US compensation is $188,000–$274,000 USD, plus a 20% bonus target, equity, and benefits.

Requirements

Bachelor's degree or equivalent practical experience.
7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
7 years of experience managing projects and defining project scope, goals, and deliverables.
Experience with data analysis, statistical analysis, and data science.

Nice To Haves

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

Responsibilities

Investigate and analyze patterns of abuse on Google Search, using data-driven 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 to identify blind spots and guide engineering development priorities.
Evaluate existing and proposed detection mechanisms, including their impact on scrapers and real users.
Contribute to developing 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.