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About the role
YouTube's Intelligence and Scaled Insights function dissects content risks across social media to support decision-making, ensuring YouTube is a safe place for its billions of users. Resourceful yet technical, this team's work runs the gamut from scaled and strategic to detailed and in-depth. Our Scaled Insights pillar leverages AI to build technology, tools, and scaled capabilities in support of our larger team and the rest of YouTube.
What they're looking for
- Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience
- 7 years of experience coding in Python and SQL
- 7 years of experience designing, deploying, and managing data pipelines, including schema management, data modeling, exploratory querying, and data workflows
More about this role
- Design, build, and optimize robust, production-grade data architecture and ETL pipelines. Serve as the technical steward for the team's data platforms, ensuring maximum data reliability, integrity, and scalable governance across complex datasets.
- Partner closely with stakeholders to translate ambiguous product and threat-intelligence analytical needs into structured data models, pipelines, and self-serve services.
- Design, implement, and evaluate intelligent, agentic analytics systems leveraging Large Language Models (LLMs) to automate deep insight generation, anomaly detection, and operational workflows.
- Architect and maintain internal tools, frameworks, and foundational tables that enable self-serve analytics, reducing data friction and dependencies for non-technical stakeholders. Streamline complex SQL queries and scale value-creating data integrations into automated, repeatable workflows.
- Own ambiguous, non-routine technical challenges end-to-end. Identify latent infrastructure vulnerabilities, process messy unstructured data volumes, and apply advanced data modeling frameworks with minimal supervision.
- Bachelor's degree in Computer Science, Engineering, a related...
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