Responsible AI Testing Data Analyst, Trust and Safety

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analytics, data science, or trust and safety.
  
• Experience with SQL.

Preferred qualifications:

• Master's degree or PhD.
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
  
• Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.
  
• Experience with modeling, experimentation, and causal inference.
  
• Experience in Trust and Safety, Intel, or Policy.
  
• Experience in responsible AI.
  

About the job

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.

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 diverse 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.

The US base salary range for this full-time position is $129,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Use Google’s big data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends.
  
• Leverage SQL to build robust and 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 complex 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 diverse 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.