Senior Engineering Analyst, AdSpam Trust and Safety

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.
• 5 years of experience managing projects and defining project scope, goals, and deliverables.
• 5 years of experience with Python, R or SQL.
• 3 years of experience in the application of ML/AI, could include GenAI solutions.
• Experience with fraud, abuse detection or risk management.

Preferred Qualifications:

• Experience in digital advertising industry in a technical role.
• Excellent problem-solving and critical thinking skills with attention to detail in a fluid environment.
• Excellent communication skills to convey technical concepts with cross-regional and cross-functional stakeholders at all levels.

About The Job

Google's brand is only as strong as our users' trust--and their steadfast belief that our guiding principles are what's best for them. Our Trust and Safety team has the critical responsibility of protecting Google's users by ensuring online safety by fighting web abuse and fraud across Google products like Search, Maps, and AdSense. On this team, you're a big-picture thinker and strategic leader. You understand the user's point of view and are passionate about using your combined technical, sales and customer service acumen to protect our users. You work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and handle abuse and fraud cases at Google speed (read: fast!). Help us show that quality on the Internet trumps all.

As a Trust and Safety Associate you defend the integrity of Google, its users, and partners worldwide by defining and communicating product policies, fighting spam, fraud, and abuse across Google products. You are proactive, motivated, organized, responsible, innovative--and able to work well in a fast-paced, global, cross-functional, and team-oriented environment while demonstrating technical know-how, effective communication and getting things done.

The Trust and Safety Ad Traffic Quality team is to make the ads ecosystem universally trusted and defended against invalid Traffic. We analyze billions of events and create scalable methods to stop motivated fraudsters from causing harm. When we get this right, we help users, advertisers, publishers, and Google gain information and monetize the internet safely and usefully.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Apply advanced statistical methods to complex data sets to analyze the impact of abuse on the Mobile ads ecosystem. 
• Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. 
• Work with engineers and stakeholders to improve workflows via process improvements, automation and anti-abuse system creation. Work directly with Product, Engineering, and Trust and Safety teams to prevent abuse by changing policies and closing product loopholes.
• Lead and conduct complex fraud investigations using data and identify gaps in current defenses , explore/experiment with new signals and develop solutions for scalable enforcement on non-compliant publisher inventory with a focus on Android.
• Be able to review or be exposed to sensitive content. 

Apply advanced statistical methods to complex data sets to analyze the impact of abuse on the Mobile ads ecosystem.