Principal Engineering Analyst, Responsible AI Testing

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.
• 7 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred Qualifications:

• 7 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g., Python).
• Experience with modeling, experimentation, and causal inference.
• Experience in Trust and Safety, AI Risk, or policy.
• Ability to influence cross-functionally at various levels.
• Excellent written and verbal communication and presentation skills along with problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About The Job

Trust and Safety team members are tasked with identifying and taking on the biggest problems that test 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 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.

Google is committed to building products that are both innovative and safe for our users. Our Trust and Safety Responsible Artificial Intelligence (AI) Testing team is at the heart of this effort, protecting the integrity of our platforms by delivering actionable and objective content abuse insights.Within the Responsible Artificial Intelligence (RAI) Testing Sustainability team, we're driving a transformation in how we approach AI testing. We partner closely across Trust and Safety, product, and engineering teams to integrate AI and automation, turning AI insights into action.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

• Leverage SQL and Python to build scalable scripts and workflows that automate data collection, enrichment, and delivery, maximizing the team's impact.
• Serve as a bridge between technical and non-technical teams, effectively translating Trust and Safety Intelligence needs into clear, actionable requirements for data solutions. 
• Establish standardized processes and methodologies for data analysis that can be applied across various topics, ensuring consistency and efficiency in generating valuable insights.
• Work autonomously to identify and solve problems and collaborate effectively within a team to develop comprehensive solutions.
• Transform raw data into compelling visualizations. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.