Senior Traffic Integrity Analyst - Anti-Abuse & ML Signals

Google LLC; Mountain View (WY); Remote; USD 159,000 - 230,000; Full time

Job summary

Google LLC is seeking a Traffic Integrity Analyst to protect Google Search by analyzing abuse patterns, coordinating with engineers and data scientists to develop countermeasures, and measuring the impact of anti-abuse initiatives.

You will work on data-driven analyses, collaborate across teams, and help build ML-based signals to detect abusive behavior while improving the safety and reliability of search for users worldwide.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5+ years of data analysis experience with trend identification and 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.
• Master's degree in a quantitative field is preferred.
• 5 years of experience in data-intensive roles such as threat intelligence, data science, trust and safety, or fraud analysis.
• Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection, and SEO.
• Experience with machine learning systems and concepts.
• Investigate and analyze patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security.

Responsibilities

• Investigate 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.
• Develop 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.
• Review 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, and develop and maintain threat intelligence on scraper actors, motivations, tactics, and the scraper ecosystem.

Skills

Data analysis

Trend identification

Data insights

Project management

Threat intelligence

Data-intensive roles

Machine learning

Abuse detection

Fraud analysis

Network analysis

Risk assessment

SEO

Data science

Education

Bachelor's degree or equivalent practical experience

Master's degree in quantitative field

Tools

SQL

Python

JavaScript

C++

Job description

Google LLC is seeking a Traffic Integrity Analyst to protect Google Search by analyzing abuse patterns, coordinating with engineers and data scientists to develop countermeasures, and measuring the impact of anti-abuse initiatives.

You will work on data-driven analyses, collaborate across teams, and help build ML-based signals to detect abusive behavior while improving the safety and reliability of search for users worldwide.