Google Maps Traffic Integrity Engineering Analyst

Google•Mountain View, CA

3d•$188,000 - $274,000

About The Position

The Maps Anti-Scraping Protection team protects Google’s Geo data assets from automated exfiltration. Its mission is to protect Maps data and map details from programmatic exfiltration while minimizing friction for legitimate users. This work supports Google Maps’ integrity, user trust, and Geo’s competitive position by identifying, analyzing, and mitigating abuse across Maps surfaces using established techniques and new research. In this role, you will monitor the evolving bot and scraper landscape, identify new abuse and inorganic traffic patterns targeting Geo data and services, and measure and improve the effectiveness of protections. You will investigate abuse trends and threat actors, assess defenses against bots and their effects on real users, and use extensive data analysis and AI/ML to inform improvements.

Requirements

Bachelor's degree or equivalent practical experience.
7 years of experience 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 and 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.

Nice To Haves

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, data science, and large language models.
Experience with Search Engine Optimization (SEO).
Experience coding with SQL, JavaScript, Python, or C++.
Understanding of machine-learning systems and concepts.

Responsibilities

Investigate and analyze complex patterns of data exfiltration and abuse on Google Maps, using data-driven insights to develop and propose countermeasures.
Analyze large-scale log data from Geo surfaces to identify, understand, and monitor inorganic traffic, scraping activities, and abuse patterns.
Design, test, and launch anti-scraping rules, models, and system enhancements tailored to Geo products and infrastructure.
Evaluate detection mechanisms, including their effectiveness against scrapers and their impact on legitimate users.
Develop metrics to measure scraper impact on Geo services and the effectiveness of anti-scraping defenses.
Contribute signals and features for machine-learning models that detect scraping attempts.
Investigate proof-of-concept attacks and research reports to identify blind spots and guide team priorities.
Develop threat intelligence on actors, motivations, tactics, and the ecosystem targeting Geo data.