Engineering Analyst, Search, Anti-scraper, Mid-Level
Join to apply for the Engineering Analyst, Search, Anti-scraper, Mid-Level role at Jobright.ai
Engineering Analyst, Search, Anti-scraper, Mid-Level
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Join to apply for the Engineering Analyst, Search, Anti-scraper, Mid-Level role at Jobright.ai
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Job Summary:
Google is reimagining what it means to search for information and is seeking an Engineering Analyst for their Search team. This role involves investigating complex patterns of abuse on Google Search and developing countermeasures to enhance platform security.
Responsibilities:
• Investigate and analyze complex patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security. 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. Collaborate with engineering teams to design, test, and launch new anti-scraper rules, models, and system enhancements.
• Investigate 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. Develop and maintain threat intelligence on scraper actors, motivations, tactics and the scraper ecosystem.
Qualifications:
Required:
• 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:
• 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, Search Engine Optimization (SEO).
• Experience of machine learning systems and concepts.
• Excellent communication skills.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, California, USA, with a team of 10001+ employees. The company is currently Public Company. Google has a track record of offering H1B sponsorships.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Software Development
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Medical insurance
Vision insurance
401(k)
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