Data Scientist, AWS Infrastructure Services Science

Job Description

Amazon Web Services (AWS) is looking for a Data Scientist to help design and deploy advanced machine learning models that optimize power utilization and infrastructure performance across global data centers.

🚀 Role Overview

In this role, you will research and build ML-driven solutions to improve the efficiency, reliability, and cost-effectiveness of data center operations. Your work will directly influence thermal and electrical infrastructure health at high utilization levels, helping AWS operate at massive scale while reducing operational costs.

🎯 Key Responsibilities

• Develop machine learning and statistical models to optimize power usage
• Partner with scientists, engineers, and infrastructure teams to solve complex problems
• Analyze large-scale operational data from data center systems
• Influence data center topology and infrastructure design through model insights
• Deliver solutions that improve efficiency, reliability, and cost savings

🧠 Ideal Candidate Profile

• Strong background in machine learning, statistics, or applied data science
• Experience working with large datasets and optimization problems
• Knowledge of infrastructure systems, energy systems, or operations research (preferred)
• Ability to collaborate with cross-functional technical teams

🌍 Why This Role Matters

Outputs from your models will directly impact real-world infrastructure decisions — not just dashboards — helping shape the future of cloud computing efficiency at global scale.

If you want help with:
✅ Resume for AWS Data Scientist roles
✅ Interview preparation (ML + System Design)
✅ Career roadmap into Data Science at AWS