Senior Engineering Traffic Analyst, Search, Anti-scraper - Google Careers

Google; Zürich; On-site; CHF 130,000 - 188,000; Full time

Job summary

Google LLC in Zürich is seeking a Senior Engineering Traffic Analyst to protect Google Search by analyzing evolving bot and scraper activity, identifying abuse patterns, and measuring the effectiveness of defenses. You will work with software engineers, data scientists, and SREs to deploy countermeasures and improve user experience.

The role emphasizes data-driven insights, ML/AI techniques, and cross-team collaboration across global locations, including Mountain View and New York.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 5 years of experience managing projects and defining project scope, goals, and deliverables.
• Experience with statistical analysis, data science and data analysis.

Responsibilities

• Investigate and analyze patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security, and analyze datasets to identify trends, patterns, and anomalies that may indicate abuse within Google Search.
• Develop and track metrics to measure scraper impact and the effectiveness of anti-scraping defenses, and collaborate with engineering teams to design, test, and launch new anti-scraper rules, models, and system enhancements.
• Review proof-of-concept attacks and research reports that identify blind spots and guide the engineering team's development priorities, evaluate the effectiveness of existing and proposed detection mechanisms, understanding the impact on both scrapers and real users.
• Contribute to the development of signals and features for machine learning models to detect abusive behavior, and develop and maintain threat intelligence on scraper actors, motivations, tactics, and the scraper ecosystem.

Skills

Data analysis

Project management

Statistical analysis

Communication

ML/AI concepts

Education

Bachelor's degree

Master's degree (preferred)

Tools

Python

SQL

Machine learning

Data visualization

Job description

Senior Engineering Traffic Analyst, Search, Anti-scraper

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Zürich, Switzerland; New York, NY, USA.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 5 years of experience managing projects and defining project scope, goals, and deliverables.
• Experience with statistical analysis, data science and data analysis.

Preferred qualifications:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering).
• 5 years of experience in a data-intensive role such as threat intelligence, data science, trust and safety, or fraud analysis.
• Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection, and Search Engine Optimization (SEO).
• Experience with machine learning systems and concepts.
• Experience in data analysis, data science, statistical analysis, abuse detection, spam, web development, project management, and fraud detection.

About the job

As a traffic integrity analyst, you will be at the forefront of protecting Google Search. You will use your analytical skills to understand the evolving bot and scraper landscape, identify new abuse and inorganic traffic patterns, and measure the effectiveness of our protections and suggest improvements. You will collaborate closely with software engineers, data scientists, and site reliability engineers to develop, deploy, and refine countermeasures. 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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Investigate and analyze patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security, and analyze datasets to identify trends, patterns, and anomalies that may indicate abuse within Google Search.
• Develop and track metrics to measure scraper impact and the effectiveness of anti-scraping defenses, and collaborate with engineering teams to design, test, and launch new anti-scraper rules, models, and system enhancements.
• Review proof-of-concept attacks and research reports that identify blind spots and guide the engineering team's development priorities, evaluate the effectiveness of existing and proposed detection mechanisms, understanding the impact on both scrapers and real users.
• Contribute to the development of signals and features for machine learning models to detect abusive behavior, and develop and maintain threat intelligence on scraper actors, motivations, tactics, and the scraper ecosystem.

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.

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.