About the job

The mission of the team is to protect Google's users and advertisers by making the ads ecosystem universally trusted and defended against invalid traffic and ensuring publishers comply with our policies. We defend Google's ad products from fraud and abuse. We understand the user's point of view and are passionate about using the technical, business, and customer service acumen to protect them. When we get this right, we help users, advertisers, publishers, and Google harness information and monetize the internet safely and usefully.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

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 with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively 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 and Safety 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.

• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

• 2 years of experience managing projects and defining project scope, goals, and deliverables.

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 AI/ML in industry settings.

• Excellent communication and people management skills to communicate technical concepts with cross-regional and cross-functional stakeholders at all levels.

• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.