Engineering Analyst, Trust and Safety Monetization

Written by the T&S Network from Google's posting.

Fraud and abuse defense for Google's ad products, covering publishers, advertisers and end-users in the ads ecosystem. The team evaluates millions of publishers and analyzes billions of events to build scalable methods that stop bad actors and motivated fraudsters.

• Fraud and scams

What you'd do

• Investigate fraud and abuse using a range of data sources and take enforcement actions against it.
• Identify novel abuse patterns across Google's ad products as they emerge.
• Partner with Engineering to improve ad traffic infrastructure, defense systems and workflows.
• Propose and help build efficiency gains through machine learning, scaled defenses and automation.
• Lead full-lifecycle projects across Product, Engineering and Trust and Safety to improve policies and close product vulnerabilities.
• Collaborate with teammates around the world and deliver projects on time from start to finish.

What it asks for

• A bachelor's degree, or equivalent hands-on experience in place of one.
• Two years analyzing data to spot trends, compute summary statistics and draw conclusions from both numbers and qualitative material.
• 2 years of experience managing projects, including defining scope, goals and deliverables.
• Master's degree in a quantitative discipline (preferred).
• 2 years of experience with SQL, R, Python or C++ (preferred).
• Knowledge of statistical analysis, machine learning libraries, programming languages, or LLMs and generative AI (preferred).

Worth knowing

• Expected to review or be exposed to sensitive content.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Googlenorth_east before you apply. If we got something wrong, report this listing.