Trust & Safety R&D Analyst - Fraud & ML

Google; Kirkland (WA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google is seeking a Research and Development Analyst on the Trust and Safety Monetization team to help future-proof Google's ad ecosystem from invalid traffic and abuse. You will identify abuse trends, uncover unknown risks, and share concrete recommendations with partner teams while collaborating with global stakeholders to strengthen defenses.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

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.

Skills

Data analysis

Statistical modeling

Fraud risk management

Education

Bachelor's degree or equivalent

Job description

Google is seeking a Research and Development Analyst on the Trust and Safety Monetization team to help future-proof Google's ad ecosystem from invalid traffic and abuse. You will identify abuse trends, uncover unknown risks, and share concrete recommendations with partner teams while collaborating with global stakeholders to strengthen defenses.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.