13 days ago

Senior Engineering Analyst Search Antiscraper

Google

On Site
Full Time
$216,000
Mountain View, CA

Job Overview

Job TitleSenior Engineering Analyst Search Antiscraper
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$216,000
LocationMountain View, CA

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Job Description

Overview

The Senior Engineering Analyst Search Antiscraper at Google is responsible for investigating and analyzing patterns of abuse on Google Search. You will utilize data insights to develop countermeasures, enhance platform security, and contribute to machine learning model development.

Minimum Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 7 years of data analysis experience.
  • 7 years managing projects and defining scope.
  • Experience in statistical analysis and data science.

Preferred Qualifications

  • Master's degree in a related quantitative field.
  • 10 years in data-related roles including threat intelligence or fraud analysis.
  • Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection, or SEO.
  • Proficiency with SQL, JavaScript, Python or C++.
  • Familiarity with machine learning systems and abuse detection.

Responsibilities

  • Investigate abuse patterns and develop anti-scraping countermeasures.
  • Analyze datasets to identify trends and anomalies.
  • Develop metrics to measure scraper impact and defense effectiveness.
  • Collaborate with engineering teams on rule and model design.
  • Evaluate detection mechanisms and contribute to threat intelligence.

Key skills/competency

  • Data Analysis
  • Project Management
  • Statistical Analysis
  • Threat Intelligence
  • Anti-scraping
  • Machine Learning
  • SQL
  • Python
  • C++
  • Security

Tags:

Senior Engineering Analyst Search Antiscraper
data analysis
project management
threat intelligence
anti-scraper
machine learning
SQL
JavaScript
Python
C++
security
fraud detection

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How to Get Hired at Google

  • Research Google culture: Study their mission and employee testimonials.
  • Customize your resume: Highlight data analysis and project management skills.
  • Showcase relevant projects: Detail anti-abuse and machine learning experiences.
  • Prepare for technical interviews: Review SQL, Python, and statistical methods.

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