Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- 5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- Experience driving data labeling quality improvements, and working on product policy analysis and identifying policy risk.
- Experience working on product policy analysis and identifying policy risks and experience with SEO, website development, or as a website owner/manager.
- Experience designing sampling approaches and using statistical analysis for making product recommendations.
- Experience in tuning and applying Large Language Models for data labeling.
- Excellent written and verbal communication skills.
About the job
As an Engineering Analyst in the Trust and Safety Search Intelligence team, you will work to discover, measure and mitigate user trust risks in Search through automated and scalable solutions, including working on Search results and various Search features, with a focus on spam and harmful content. You will build relationships and work closely with Search engineers to protect Google Search users. You will apply your investigative and technical skills to identify and prevent manipulative behavior, contribute to the development and enforcement of spam guidelines, and partner with engineering teams to enhance search ranking algorithms. Our aim is to resolve problems at scale by working with engineers on automated product protections, prompt-based Large Language Model solutions, or through vendor support.
In this role, you will be exposed to graphic, controversial or upsetting content.
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.
Responsibilities
- Develop domain knowledge in Search infrastructure, ranking signals, and products.
- Contribute to prompt-based Large Language Models that can evaluate content safety according to our product policies.
- Investigate and analyze complex patterns of abuse on Google Search, utilizing data-driven insights to develop countermeasures and enhance platform security.
- Analyze large datasets to identify trends, patterns, and anomalies that may indicate abuse or quality issues within Google Search.
- Collaborate effectively with cross-functional teams, including Engineering, Product, Policy, and Legal, to develop and implement solutions that enhance search quality and user trust. Translate complex technical analyses into clear, concise, and actionable insights for both technical and non-technical stakeholders.