The mission of our team is to build an exceptional trusted ads ecosystem by predicting and mitigating emerging risks, ensuring safe and healthy growth for creators, 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.
As a Research and Development Analyst on the Trust and Safety Monetization team, you'll be responsible for future-proofing Google's ad ecosystem from invalid traffic and abuse. You'll work to discover abuse trends and signatures, take risks to seek out and deeply understand the unknown, and then share findings and concrete recommendations with our partner teams. You will collaborate with internal and external stakeholders to develop and improve our defenses, because we don't succeed unless they do.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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 closely with engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
- Drive full lifecycle 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.
- Be exposed to potentially sensitive content or situations and possibly graphic, controversial, and/or upsetting topics or content as part of the role.
Qualifications
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 with statistical and quantitative modeling or fraud and risk management.
Preferred qualifications:
- Experience in the digital advertising industry in a technical role.
- Experience delivering experimental research or security and reverse engineering.
- Experience applying ML/AI in industry settings.
- Excellent communication and collaboration skills to communicate technical concepts with and influence cross-regional and cross-functional stakeholders at all levels.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.