Engineering Analyst, Trust and Safety, Ad Traffic
Corporate Fare: Google place: Dublin, Ireland
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Apply
* 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 with SQL.
Preferred qualifications
* Experience in data management, metrics analysis, experiment design and automation.
* Experience with classification systems, ranking systems or similar.
* Experience collecting, managing and synthesizing data sets and information from disparate sources, statistical modeling, data mining and data analysis.
* Experience in problem-solving with a quantitative mind, capable of translating insights into business strategies and actions.
* Understanding of high-level product and policy knowledge with the ability to design training roadmaps and communicate and persuade between multiple levels.
About the job
As a part of the Trust and Safety Ad Traffic Quality team, you will analyze billions of events to create scalable methods that stop motivated fraudsters, be trained to use tools for truly Google-scale datasets, dive deep into advanced data analysis techniques to prevent fraud and abuse, collaborate with Engineering, Product, Sales, and Legal stakeholders, and protect millions of advertiser dollars, helping users, advertisers, publishers and Google gain information and monetize the internet safely and usefully.
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 by proactively identifying and implementing 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.
* Review or be exposed to sensitive content.
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