{"id":3600851,"url":"https://alion.io/job/google-senior-engineering-traffic-analyst-search-anti-scraper","title":"Senior Engineering Traffic Analyst, Search, Anti-scraper","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":131,"ghost_share":0.038,"stale_share":0.763,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"C++","optional":true},{"name":"JavaScript","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-02T07:07:44Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-12T10:38:29Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"About the job\nAs 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\nLearn more about benefits at Google.\nResponsibilities\nInvestigate 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.\nDevelop 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.\nReview 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.\nContribute 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.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.\n5 years of experience managing projects and defining project scope, goals, and deliverables.\nExperience with statistical analysis, data science and data analysis.\nPreferred qualifications:\nMaster's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering).\n5 years of experience in a data-intensive role such as threat intelligence, data science, trust and safety, or fraud 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