Senior Data Scientist, Resource Efficiency

Google is seeking a Senior Data Scientist to join their Resource Efficiency team, focusing on optimizing compute, storage, network, and data center capacity for Google's internal services and Google Cloud Platform. This role sits at the intersection of data science, infrastructure, and business strategy, requiring expertise in operations research and statistical methods.

The position involves working closely with Google's Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams to optimize resource deployment and drive innovation in the software stack. The successful candidate will develop and maintain forecasting and capacity planning tools, lead complex analytical projects, and translate technical insights into business recommendations.

This is an opportunity to impact Google's cloud infrastructure at scale, working with both technical and business stakeholders. The role requires a strong quantitative background, with hands-on experience in Python, SQL, and statistical analysis. You'll be responsible for solving complex challenges related to resource efficiency, capacity planning, and infrastructure optimization.

The ideal candidate combines technical expertise with business acumen, capable of discussing total cost management with hardware engineers while also reviewing fleet plans with operations executives. This role offers the chance to work on critical infrastructure that powers Google's vast product portfolio, making meaningful contributions to the company's technical efficiency and operational excellence.