Engineering Analyst, Anti-scraper, Search

corporate_fare Google place Mountain View, CA, USA Apply 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 in managing projects and defining project scope, goals and deliverables. Experience with data analysis, statistical analysis and data science. Preferred qualifications: 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 machine learning systems and concepts. Experience with abuse detection, spam, web development or project management. About the job 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. The US base salary range for this full-time position is $174,000-$258,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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. 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. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. #J-18808-Ljbffr