Engineering Analyst, Trust and Safety Monetization
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Key details
- Location
- Bengaluru, KA, India
- Work style
- Onsite
- Level
- Senior
- Experience
- 5–8 yrs
- Function
- Operations & Strategy
- Focus area
- other
- Posted
- 6h ago
Skills
data analysisdigital advertisingmachine learningpythonrisk managementscriptingsql
About the role
About the job
Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.Responsibilities
- 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.
Minimum 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.
- 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.
- 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.