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 combines data science, operations research, and infrastructure optimization to drive efficiency across Google's vast technical infrastructure.

The position requires expertise in analytics, statistical methods, and programming, with the successful candidate working across Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams. You'll be responsible for developing and maintaining forecasting tools, leading analytical projects, and translating complex data insights into actionable business recommendations.

As a key member of Google's Technical Infrastructure team, you'll contribute to the architecture that powers Google's extensive product portfolio. The role involves working with various stakeholders, from hardware engineers discussing total cost management to software engineers focusing on resource optimization, and operations executives reviewing fleet plans.

The ideal candidate should have strong quantitative skills, experience with statistical analysis and experimental design, and proficiency in programming languages like Python, R, and SQL. You'll need to demonstrate excellent problem-solving abilities and project management skills, with a focus on applying advanced analytics to planning and infrastructure challenges.

This position offers the opportunity to work at the intersection of data science and infrastructure optimization at one of the world's leading technology companies. You'll be part of a team that's essential to Google's operational efficiency and technological advancement, making impactful decisions that affect Google's global infrastructure.