Staff Engineering Analyst, Adspam, Trust and Safety
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Experience with SQL or Python.
Preferred qualifications:
- Master's degree in a quantitative discipline.
- Experience in building robust scaled operations, efficient workflow design and process documentation.
- Experience in crafting compelling narratives intended to influence internal and external stakeholders, as well as presenting to executives in the organization.
- Experience in data manipulation, analysis, and automation using languages like Python and SQL with a data-driven investigative approach to solve complex challenges.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- Excellent communication and presentation skills (written and verbal) with the ability to influence cross-functionally at various levels.
About the job
Trust and Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.The mission of 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.
Responsibilities
- Analyze the evolving AI threat landscape. Identify and forecast future misuse vectors and adversarial techniques, translating these insights into proactive mitigation plans.
- Provide and apply our intelligence to be ready to respond to new adversarial campaigns or actors, taking enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
- Lead initiatives to implement next-generation safety mitigations. Guide engineering and research teams in building sophisticated technical solutions, from fine-tuning techniques to classifier-based guardrails.
- Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
- Work across time zones, to communicate with a globally distributed team.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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