Engineering Analyst, Trust and Safety Monetization

Job description

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

Master's degree in a quantitative discipline. 2 years of experience with one or more of the following languages: SQL, R, Python, or C++. Knowledge of one or more of the following areas: statistical analysis and Machine Learning libraries (e.g., R, Scikit-learn), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI. About the job The mission of our team is to build an ads ecosystem by ensuring safe and healthy growth for publishers, advertisers, and end-users.

We defend Google's ad products from fraud and abuse. We evaluate millions of publishers, analyze billions of events, and create scalable methods to stop bad actors and motivated fraudsters from causing harm. We understand the user's point of view and are passionate about using our technical, sales, 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.