Data Scientist, Research, Core Compute Analytics

Join Google's Core Compute Analytics team as a Data Scientist focused on improving the efficiency and performance of Google's infrastructure. This role combines data science expertise with infrastructure optimization, working at the intersection of traditional compute and machine learning fleet management across Borg and Google Compute Engine (GCE).

As a Data Scientist in this role, you'll collaborate with Core Infrastructure and Google Cloud Platform teams to solve complex problems and drive decision-making across different layers of the compute stack. Your work will involve building data pipelines for production optimization, developing statistical modeling frameworks for infrastructure spending management, and defining compute telemetry needs.

The position offers competitive compensation ($166,000-$244,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be working in Sunnyvale, CA, contributing to Google's next generation of compute infrastructure. The role requires strong analytical skills, programming expertise in languages like Python and SQL, and the ability to translate complex data insights into actionable recommendations.

This is an excellent opportunity for someone with a strong quantitative background who wants to impact Google's infrastructure efficiency at scale. You'll work with large datasets, lead important initiatives, and partner with various teams across the organization. The role combines technical expertise with strategic thinking, making it ideal for data scientists who want to shape the future of Google's computing infrastructure.