Google Maps Traffic Integrity Engineering Analyst
Listed on Alphabet’s official careers site. Listed as of November 7, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job 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 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.
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 Search Engine Optimization (SEO). About the job Maps Anti-Scraping Protection team is dedicated to protecting Google's valuable Geo data assets from automated exfiltration.
The core mission is to protect Maps data and map details from programmatic exfiltration. A core priority is to ensure minimal friction for the legitimate users. The 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 will 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 AI/ML.
Use this template only when existing Area Templates don't apply. For one-off use cases, not ongoing roles. If you need to create a NEW template for your team submit a request at go/jdreview. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US
$188000 - $274000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google .
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