Data Scientist, Trust & Safety — AI Metrics & Impact

Google

San Bruno (CA)

Vor Ort

USD 138.000 - 197.000

Vollzeit

vor 12 Stunden
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

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Zusammenfassung

YouTube is seeking a Business Data Scientist to translate complex safety issues into tractable problems and drive data-informed decisions. You will partner across analytics, product, and strategy teams to deliver actionable insights and scalable AI-native solutions that protect the platform and users.

The role emphasizes turning ambiguous safety questions into rigorous analyses, owning milestones, and communicating results clearly in a fast-paced environment.

Qualifikationen

  • Master's degree in a quantitative discipline or equivalent practical experience.
  • 3 years of experience using analytics to solve product or business problems, coding, querying databases, or statistical analysis.

Aufgaben

  • Develop, build, and measure performance on abuse and operational metrics; generate insights to reduce violative content.
  • Lead design, implementation, and scaling of metrics, analysis frameworks, and AI-based systems across products and violation areas.
  • Learn complex concepts and communicate highly technical results clearly.
  • Partner with Data Science, Product, Research, and Strategy to prioritize and execute quantitative analyses and modeling.
  • Analyze processes to identify opportunities for improvement and collaborate cross-functionally to enhance AI-native tools.

Kenntnisse

Analytics
Coding (Python/R/SQL)
Data querying

Ausbildung

Master's degree in quantitative discipline
PhD degree (relevant)

Tools

Python
R
SQL

Jobbeschreibung

YouTube is seeking a Business Data Scientist to translate complex safety issues into tractable problems and drive data-informed decisions. You will partner across analytics, product, and strategy teams to deliver actionable insights and scalable AI-native solutions that protect the platform and users.

The role emphasizes turning ambiguous safety questions into rigorous analyses, owning milestones, and communicating results clearly in a fast-paced environment.

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