Scaled Abuse Detection Analyst
@ Google

San Bruno, CA
$150,000
On Site
Full Time
Posted 22 days ago

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Job Details

About the Role

As a Scaled Abuse Detection Analyst at Google YouTube Trust and Safety, you will leverage data analysis to identify abuse patterns and trends within the YouTube Partner Program. You will work in a fast-paced environment, managing large data sets and turning insights into meaningful action while collaborating with global teams.

Key Responsibilities

  • Collect, manage and synthesize large datasets from disparate sources.
  • Perform statistical modeling, data mining and trend analysis.
  • Translate investigative insights into business strategies.
  • Manage projects and define scope, goals, and deliverables.
  • Innovate and conceptualize solutions in a dynamic environment.

Minimum Qualifications

Bachelor's degree or equivalent practical experience, 2 years of data analysis experience, 2 years managing projects, and 2 years using SQL and Python.

Preferred Qualifications

Experience with machine learning systems, prompt engineering, experiment design and automation, and classification or ranking systems.

About Google YouTube Trust and Safety

Join a team dedicated to making YouTube a safe place for users and creators worldwide. You will contribute to reducing network badness, ensuring online safety, and ensuring the free exchange of ideas by applying quantitative insights at scale.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • Machine Learning
  • Project Management
  • Statistical Modeling
  • Trend Analysis
  • Data Mining
  • Trust and Safety
  • Scalable Systems

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google culture: Study Google's mission, values, and recent projects.
  • Customize your resume: Highlight data analysis and project management skills.
  • Emphasize technical expertise: Detail your SQL, Python, and ML projects.
  • Prepare for interviews: Practice behavioral and technical problem-solving questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and Python scripts.
Study statistical modeling and data mining techniques.
Practice machine learning problem solving exercises.
Familiarize with scalable system architectures.

Behavioral Questions

Describe a past project management challenge.
Explain your approach to data conflict resolution.
Discuss handling high-pressure deadlines.
Share experience collaborating in diverse teams.

Frequently Asked Questions