Maps Anti-Scraping & Threat Intelligence Analyst

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

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Maps Anti-Scraping Protection team protects Google’s Geo data from automated exfiltration. You will analyze large-scale logs, identify inorganic traffic, and design defenses that minimize impact on legitimate users.

The role blends data analytics with ML-driven detection to safeguard Maps data and user trust. You will track abuse trends, measure defenses, and build threat intelligence on actors while collaborating with cross-functional teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of managing projects and defining scope, goals, deliverables.
• 7 years in data-intensive roles (threat intelligence, data science, trust/safety, or fraud analysis).
• 7 years in data analysis identifying trends and extracting insights.
• Experience with threat intelligence, anti-abuse, security, network analysis, or fraud detection.

Responsibilities

• Investigate and analyze complex patterns of data exfiltration and abuse on Google Maps.
• Design, test, and launch anti-scraping rules, models, and system enhancements.
• Develop metrics to measure scraper impact and contribute to ML signals.
• Investigate proof-of-concept attacks and guide development priorities.
• Develop threat intelligence on actors, motivations, tactics, and ecosystem.

Skills

Data analysis

Threat intelligence

Fraud analysis

Data science

Project management

Education

Bachelor's degree

Master's degree (preferred)

Tools

Large language models

SEO tools

Job description

Google Maps Anti-Scraping Protection team protects Google’s Geo data from automated exfiltration. You will analyze large-scale logs, identify inorganic traffic, and design defenses that minimize impact on legitimate users.

The role blends data analytics with ML-driven detection to safeguard Maps data and user trust. You will track abuse trends, measure defenses, and build threat intelligence on actors while collaborating with cross-functional teams.