Content Safety Analyst

At Google, trust is the most valuable currency. The Trust and Safety team is the frontline of this commitment, blending technical expertise with a relentless drive to protect the users from abuse and fraud. As a member of the Content Safety team, you will join the Global Elections Integrity initiative. Your mission is to safeguard the democratic process by ensuring political advertising remains transparent, compliant, and secure. You are not just reacting to threats; you are a big-picture strategist working at Google speed alongside engineers and product leaders to outpace bad actors. You take pride in knowing your work preserves the integrity of our platform and protects the global community during its most critical moments. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .

Collaborate with cross-functional groups such as PM, Engineering, Sales and Legal to drive projects that increases users' safety and provide better online experience through Google Ads. Execute complex queries and analyses, build visual models, and construct presentations on abuse trends to aid in fraud prevention and influence change in existing abuse detection systems without compromising advertiser experience. Conduct investigations to catch fraudsters, enforce our product policies, learn scam patterns/ trends and identify product vulnerabilities. Proactively identify automation and efficiency opportunities and drive solutions through analysis, or cross-functional partnerships. Provide periodic on-call coverage and address escalations from both internal and external stakeholders within established service level agreements. Please note that there may be occasional exposure to some adult content and other potentially disturbing material during the course of these duties.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields. Preferred qualifications: Master's degree or PhD in a quantitative field like engineering, computer science, mathematics, or statistics. Experience with scripting and coding (eg. C/C++, Python, Java). Experience with fraud or policy investigations, fraud risk management, Internet advertising, or e-commerce. Experience in roles related to business analysis, statistical analysis or Machine Learning. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.