Data Scientist, Research, Core Compute Analytics

Google is seeking a Data Scientist for their Core Compute Analytics team, focusing on improving the efficiency and performance of Google's infrastructure. This role sits at the intersection of traditional compute and machine learning infrastructure, working across both Borg and Google Compute Engine (GCE) systems.

The position offers an opportunity to work with a collaborative team of data scientists and software engineers, tackling complex challenges in infrastructure optimization. You'll be responsible for building data pipelines, developing statistical modeling frameworks, and delivering production hints that enhance efficiency across Google's vast compute infrastructure.

The role requires strong analytical skills, with hands-on experience in Python, R, and SQL for data analysis and modeling. You'll work with massive datasets to derive insights that drive decision-making and shape the future of Google's compute infrastructure. The position involves close collaboration with Core Infrastructure and Google Cloud Platform teams, making it ideal for someone who enjoys cross-functional work.

Key responsibilities include performing end-to-end analysis of large datasets, identifying business problems, translating them into data science questions, and communicating results to stakeholders. You'll also lead initiatives to enhance data tools and methodologies, helping scale the team's impact across Google's infrastructure.

The compensation package is competitive, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. This role offers an excellent opportunity to impact Google's infrastructure efficiency while working with cutting-edge technology and talented teams. The position is based in Sunnyvale, CA, requiring strong technical expertise combined with leadership and communication skills.