Data Scientist, AWS Infrastructure Services Expert

4 weeks ago


Seattle, Washington, United States Amazon Full time
About the Role

As a Data Scientist in AWS Infrastructure Services, you will play a critical role in optimizing power utilization at our data centers. You will work closely with our Science team to develop machine learning models that influence power utilization, ensuring the health of our thermal and electrical infrastructure at high infrastructure utilization.

Key Responsibilities

* Proactively identify opportunities to optimize power utilization through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure.
* Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.
* Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts.

About the Team

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

What We Offer

* A dynamic and inclusive team culture that welcomes bold ideas and empowers you to own them to completion.
* Opportunities to work on complex and challenging problems with a talented team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles.
* A comprehensive benefits package, including medical, financial, and other benefits.

Requirements

* Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
* Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent).
* Experience using notebook solution such Jupyter to conduct reproducible data analysis and modeling projects.

Why AWS?

AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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