Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in managing projects and defining project scope, goals and deliverables.
• 7 years of experience in a data-intensive role such as threat intelligence, data science, trust & safety, or fraud analysis.
• 7 years of experience in data analysis including identifying trends, generating summary statistics and drawing insights from quantitative and qualitative data.
• Experience with threat intelligence, anti-abuse, security, network analysis, or fraud detection.

Preferred qualifications:

• Master's degree in Statistics, Computer Science, Mathematics, Engineering or a related quantitative field.
• Experience with abuse detection, spam, web development or project management.
• Experience with data analysis, statistical analysis and data science and large language models.
• 
  
  Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection or Search Engine Optimization (SEO).
  
  
• Experience with or understanding of machine learning systems and concepts.
• Proficiency in or familiarity with SQL, JavaScript, Python, or C .

About the job
The Geo Anti-Scraping Protection (GASP) team is dedicated to protecting Google's valuable Geo data assets from automated exfiltration. Our core mission is to protect Maps data like street view imagery, user-generated content (reviews, photos), and map details from programmatic exfiltration.

A core priority is to ensure minimal friction for our legitimate users. Our work is crucial for maintaining the integrity of Google Maps, user trust, and Geo's competitive edge. This is approached through identifying, analyzing, and mitigating various forms of abuse across all Maps surfaces, leveraging both established techniques and cutting-edge research.

In this role, you'll understand the evolving bot and scraper landscape, identify new abuse and inorganic traffic patterns targeting Geo data and services, and measure the effectiveness of our protections and suggest improvements. 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.

The US base salary range for this full-time position is $189,000-$274,000 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 data exfiltration and abuse on Google Maps, utilizing data-driven insights to develop and propose effective countermeasures. Analyze large-scale logs data from various Geo surfaces to identify, understand, and monitor inorganic traffic, scraping activities, and abuse patterns.
• Design, test, and launch new anti-scraping rules, models, and system enhancements tailored to Geo's products and infrastructure. Evaluate the effectiveness of detection mechanisms, understanding the impact on both scrapers and legitimate user experience.
• Develop metrics to measure scraper impact on Geo services and the effectiveness of anti-scraping defenses. Contribute to the development of signals and features for ML models to detect scraping attempts.
• Investigate proof-of-concept attacks and research reports that identify blind spots and guide the team's development priorities.
• Develop threat intelligence on actors, motivations, tactics, and the ecosystem targeting Geo data.

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Requisition #: 77688438924419782

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