Traffic Integrity Engineer - Anti-Abuse & ML Insights

Google LLC; Mountain View (CA); On-site; USD 188,000 - 274,000; Full time

Job summary

Google LLC is seeking a Search Traffic Integrity Engineering Analyst to protect Google Search by identifying abuse patterns, evaluating scraper impact, and developing robust defenses. You will work with Software Engineers, Data Scientists, and Site Reliability Engineers to deploy countermeasures and improve platform security, with global reach and meaningful user impact.

Ideal candidates bring strong data analysis, statistical, and project management skills, plus experience in ML and threat

Qualifications

• 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.

Responsibilities

• Investigate and analyze patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security.
• 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.
• Develop and maintain threat intelligence on scraper actors, motivations and tactics.

Skills

Data analysis

Statistical analysis

Data science

Project management

Threat intelligence

SEO knowledge

Education

Bachelor's degree

Job description

Google LLC is seeking a Search Traffic Integrity Engineering Analyst to protect Google Search by identifying abuse patterns, evaluating scraper impact, and developing robust defenses. You will work with Software Engineers, Data Scientists, and Site Reliability Engineers to deploy countermeasures and improve platform security, with global reach and meaningful user impact.

Ideal candidates bring strong data analysis, statistical, and project management skills, plus experience in ML and threat