Google Maps Traffic Integrity Engineering Analyst

Google; 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 Traffic Integrity Engineering Analyst

Share Google Maps Traffic Integrity Engineering Analyst

corporate_fare Google place Mountain View, CA, USA

• 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).

• Understanding of machine learning systems and concepts.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

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 .

• 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, understand 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.