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 across 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 analytical models and tools for resource optimization and capacity planning.

As a Senior Data Scientist, you'll be responsible for building and maintaining forecasting tools, leading complex analytical projects, and translating technical insights into business recommendations. You'll work with various teams to optimize resource deployment and drive innovation in Google's software stack. The role requires both technical depth in data science and the ability to communicate effectively with stakeholders across different technical domains.

The position is part of Google's Technical Infrastructure team, which is fundamental to keeping Google's services running efficiently. You'll contribute to Google's cloud infrastructure both as a technology platform and as a business operation. The role offers the opportunity to impact Google's infrastructure efficiency at scale, working with cutting-edge technology and solving complex optimization challenges.

This is an ideal position for someone who combines strong analytical skills with business acumen, can lead complex technical projects, and is passionate about using data science to optimize large-scale infrastructure systems. The role offers the opportunity to work with Google's world-class engineering teams and influence the direction of Google's infrastructure development.