Engineering Analyst, Trust and Safety Monetization
Google · Posted Nov 6
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
YouTube’s Trust & Safety team works to keep YouTube safe for users, viewers, and creators by addressing content concerns, navigating legal frameworks, and enforcing policy. This role focuses on analyzing and investigating fraud and abuse across Google’s ad products, using data analysis, SQL, Python, and machine learning. The analyst partners with Engineering, Product, and Trust & Safety teams to improve ad traffic defenses and drive abuse-prevention projects.
What you will do
- Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
- Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
- Drive full life cycle projects across Product, Engineering, and Trust & Safety (T&S) teams to prevent abuse by improving policies and closing product vulnerabilities.
- Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner.
- Be able to review or be exposed to sensitive content.
Skills used in this role
What the employer is looking for
- 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.
- Experience with SQL for technical audits and data analysis.
- Experience in data analytics and scripting in Python.
Preferred qualifications
- Experience in digital advertising industry in a technical role.
- Experience in data management, metrics analysis, experiment design and automation.
- Experience with fraud and risk management or statistical and quantitative modeling.
- Experience applying ML/AI in industry setting.
- Ability to communicate technical concepts to cross-regional and cross-functional stakeholders at all levels.
- Ability to apply critical thinking and problem-solving skills with attention to detail in an ever-changing environment.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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