Job description

Trust & 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. On this team, you are a big-picture thinker and strategic leader. You will understand the user's point of view and will be passionate about using your combined technical, sales and customer service acumen to protect our users. You will work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and handle abuse and fraud cases at Google speed. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Apply advanced statistical methods to large complex data sets to analyze impact of abuse on the Video ads ecosystem. • Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. • Work with engineers and stakeholders to improve workflows via process improvements, automation and anti-abuse system creation. • Conduct complex fraud investigations using data and identify gaps in current defenses, explore/experiment with new signals and develop solutions for scalable enforcement on non-compliant publisher inventory with a focus on Video ads. • Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays. This role works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content. • 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. 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++. • 2 years of experience with machine learning systems. • Excellent written and verbal communication skills.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Apply advanced statistical methods to large complex data sets to analyze impact of abuse on the Video ads ecosystem.
Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse.
Work with engineers and stakeholders to improve workflows via process improvements, automation and anti-abuse system creation.
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.
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.
2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
2 years of experience with machine learning systems.

Nice-to-haves

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Master's degree in a quantitative discipline.
Excellent written and verbal communication skills.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonmachine learning

Platform: google
Effort: medium