Onsite
Full Time Posted a month ago
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Job Type

Full Time

Job Details

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • 1 year of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:
  • Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research).
  • 2 years of experience in a data analysis or data science setting.
  • Experience with one or more of the following languages: SQL, R, Python, or C++.
  • Experience in abuse and fraud disciplines, focused on web security, harmful content moderation, and threat analysis.
  • Experience applying machine learning techniques to datasets.
  • 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.

The AI Safety Protections team safeguards Generative AI experiences across Google products for all users, including enterprise clients. By developing and deploying safety classifiers, both server-side and on-device, the team ensures the distribution of safe and policy-compliant content. They take a data-driven approach to problem-solving and exceed in employing cutting-edge AI solutions for enhanced 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.

Responsibilities
  • Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
  • Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop insights for continuous security enhancement.
  • Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including senior leadership.
  • Develop automated data pipelines and self-service dashboards to provide timely insights at scale.
  • Work with sensitive content/situations and may be exposed to graphic, controversial, or upsetting topics/content.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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AI Safety Data Scientist, Trust and Safety
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