Senior Data Scientist, Resource Efficiency

Google is seeking a Senior Data Scientist for their Resource Efficiency team to optimize compute, storage, network, and data center capacity for Google's internal services and Google Cloud Platform. This role sits at the intersection of operations research and statistical methods, working closely with Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams.

The position requires expertise in developing and maintaining forecasting and capacity planning tools, leading complex analytical projects, and translating technical insights into business recommendations. You'll be working on optimizing Google's cloud infrastructure from both technical and business perspectives, engaging with hardware engineers on cost management, software engineers on resource optimization, and operations executives on fleet planning.

As part of Google's Technical Infrastructure team, you'll contribute to the architecture that powers Google's vast product portfolio. The role combines advanced analytics with practical business applications, requiring both technical expertise in data science and the ability to communicate effectively with various stakeholders.

The ideal candidate should have strong experience in statistical analysis, experimental design, and machine learning, with proven ability to apply these skills to solve complex infrastructure and planning problems. You'll be working in an environment that values analytical excellence and innovative problem-solving, with the opportunity to impact Google's global infrastructure efficiency.

Benefits include working with cutting-edge technology, collaborating with world-class engineers and data scientists, and contributing to solutions that optimize one of the world's largest technical infrastructures. The role offers significant growth potential and the chance to work on challenging problems at a massive scale.