Senior Engineering Analyst, Search, Anti-scraper

Overview

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 $147,000-$216,000 + 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 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. Develop and maintain threat intelligence on scraper actors, motivations, tactics and the scraper ecosystem.

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.

About the job

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. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

General Business, Strategy/Planning, and Consulting

Industries

Information Services and Technology, Information and Internet

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