Senior Trust and Safety Data Analyst, Search

1 Month ago • 4-6 Years • Data Analyst • $110,000 PA - $157,000 PA

Job Summary

Job Description

This Senior Trust and Safety Data Analyst role focuses on Generative AI issues within Google Search. Responsibilities include establishing metrics to benchmark risks, developing datasets for engineer evaluations, using technical judgment to drive project delivery, managing multiple projects, developing and improving data analysis tools, enhancing operational workflows, analyzing escalations, and performing on-call duties. The role involves working with product, engineering, and policy teams to proactively identify and mitigate risks associated with evolving Gen AI experiences, and requires reviewing potentially sensitive content. This position is crucial for unlocking access to Gen AI experiences for global youth.
Must have:
  • Bachelor's degree or equivalent experience
  • 4+ years data analytics experience
  • 4+ years experience with databases and SQL
  • 2+ years project management experience
  • Experience with abuse, spam, or fraud detection
Good to have:
  • Experience with product policy analysis
  • Experience with statistical analysis and hypothesis testing
  • Experience analyzing Machine Learning models or working on LLMs
  • Excellent communication and presentation skills
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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