Senior Trust and Safety Data Analyst, Search

1 Month ago • 6-6 Years • Data Analyst • $110,000 PA - $157,000 PA

Job Summary

Job Description

The Senior Trust and Safety Data Analyst at Google's Search team plays a crucial role in protecting users and the integrity of Google products. This involves proactively identifying and mitigating risks associated with abuse, spam, fraud, and malware across various platforms. The role requires collaboration with engineering, product, and policy teams to develop and implement solutions using data analysis, AI, and machine learning. Responsibilities include establishing metrics to benchmark Generative-AI issues, developing datasets for model evaluation, managing projects, improving tools, enhancing workflows, analyzing escalations, and performing on-call duties. The candidate must be proficient in SQL, data analysis, and possess excellent communication and problem-solving skills. The position involves working with sensitive and potentially offensive content.
Must have:
  • Bachelor's degree or equivalent experience
  • 4+ years data analytics experience
  • 4+ years SQL experience
  • 2+ years project management experience
  • Excellent communication and problem-solving skills
Good to have:
  • Experience with abuse, spam, fraud, or malware
  • Experience in policy analysis and risk identification
  • Experience with statistical analysis and hypothesis testing
  • Experience with Machine Learning models or LLMs
  • Experience relaying communications between technical and non-technical teams
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
  • 4 years of experience in data analysis, working with databases, and querying (e.g., SQL, MySQL).
  • 2 years of experience in managing and defining project scope, goals, and deliverables.

Preferred qualifications:

  • Experience working with abuse, spam, fraud or malware.
  • Experience working on product policy analysis and identifying policy risks.
  • Experience generating summary statistics, and drawing insights from quantitative and qualitative data.
  • Experience in relaying communications between technical and non-technical teams.
  • Experience using statistical analysis and hypothesis testing. Experience analyzing Machine Learning models performance or working on LLMs.
  • Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

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.

In this team you will work alongside product, engineering and policy teams to proactively understand risk for evolving Gen AI experiences, detect harm patterns, develop state of the art technology like AI, LLMs to problems and define industry best practices.You will be unlocking access to Gen AI experiences for global youth.

The US base salary range for this full-time position is $110,000-$157,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

  • Help to establish metrics to benchmark Generative-AI issues, quantify risks and guide improvements. Develop datasets and run evals for engineers to evaluate and improve Search, Labs and Gemini learning and educational products.
  • Use technical judgment to drive project delivery, challenge proposals and identify risks. Manage multiple interdependent projects of moderate to high complexity and scope against crashed timelines.
  • Develop and Improve tools through data analysis and technical expertise. Enhance our operational workflows via process improvements and identification of automation opportunities. Analyze and debug escalations and identify trends that can indicate bigger product risks.
  • Perform on-call responsibilities on a rotating basis, including weekend coverage.
  • Ability to review graphic, controversial, and sometimes offensive/sensitive content during the course of this role.

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