Senior Data Analyst, Trust and Safety, Search

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
• 3 years of experience in stakeholder management.
• Experience with SQL and Abuse Detection.
• Experience in one or more of the following areas: Statistical analysis and Machine Learning libraries (e.g., R, Scikit-learn, Tensorflow), Programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI.

Preferred qualifications:

• Master's degree or PhD in a relevant field.
• Education in, or experience with, machine learning.
  
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
  
• Experience developing detailed operational processes from scratch.
• Ability to work separately and complete projects from beginning to end in a timely manner and navigate and influence cross-team stakeholders, with effective mentorship and leadership skills.
• Excellent written and verbal communication and presentation skills and the ability to influence cross-functionally at various levels.

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.

The Search team within Trust and Safety is recruiting enthusiastic, web-savvy individuals to work with technologies in order to keep users safe and improve the quality of Google's Search results.

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

• Initiate and lead projects to protect Google Search users from abuse, inappropriate content and fraud through investigation, prevention and removal of quality issues.
• Troubleshoot issues and product vulnerabilities to implement large-scale quality improvements. Analyze and identify new abuse trends. Develop insights and recommendations to enable effective and systematic solutions.
• Work across several of Search features which predict user intent, personalization and find commonalities and abuse patterns. Conduct complex and actionable data analyses as well as identify new signals to improve search quality. Drive the utilization of these new signals to completion.
• Work directly with other members of your team to prevent complex abuse issues.
• Apply and share best practices on product or system knowledge. Be exposed to graphic, controversial, or upsetting content.