Sr. Applied Scientist, AWS Sustainability Science and Innovation

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. 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 were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Are you an experienced applied science professional who is passionate about making a big impact Are you interested in a high impact role at the worlds preeminent cloud computing company

The AWS Sustainability Science and Innovation team is hiring a Sr. Applied Scientist. AWS Sustainability Science and Innovation (AWS-SSI) develops world-class methodologies and models that enable data-driven decision making to enhance the near and long-term sustainability performance of AWS infrastructure and services. We use these models to develop derisk and accelerate the adoption of innovative sustainable technologies by leveraging strategic external partnerships leading applied research and building partnerships across AWS teams. By continually pushing the boundaries of sustainability science we will strive to be a catalyst for a sustainable transformation across our customers our partners and the world. This role will support developing scalable methods and models to assess and allocate the environmental impacts of AWS data centers and cloud computing services from manufacturing transportation use and end-of-life. This work will drive a deeper understanding of AWSs environmental impacts and enable strategic communication of our carbon emissions to customer.

The ideal candidate will have industry experience in modeling data center sustainability impacts. You will help the team to define strategy and implement tooling to identify ingest harmonize store and develop models to utilize data from both internal and external sources across energy water and more. The candidate should be comfortable working with imperfect data identifying sources of uncertainty and finding public data to fill the gaps where needed. The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex fast moving problems. The candidate will work with other scientists sustainability specialists and software engineers in deploying the developed methods and models into production.

Key job responsibilities
In this role you will be responsible for:
-Analyze complex datasets used to make decisions regarding data center infrastructure and cloud services
-Drive the design development and execution of scientific research projects and data models
-Implement sustainability impact assessment models and algorithms to improve the sustainability performance of existing systems processes and products
-Use modeling simulation and optimization to design processes algorithms and prediction/classification systems
-Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
-Quantify business impact and influence go/no-go decisions on sustainability initiatives
-Solve problems that improve Amazons products and advance our scientific knowledge
-Work closely with software engineering teams to drive real-time model implementations and new features

A day in the life
Each day you will interact with different teams responsible for all aspects of hardware and data centers. Your work will span the life cycle of our operations and allow you to influence how we develop and implement sustainability practices. You will have the opportunity to work on projects locally and globally.

About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Why AWS-SSI
AWS Sustainability Science and Innovation develops world-class methodologies and models that enable data-driven decision making to enhance the near and long-term sustainability performance of AWS infrastructure and services. We use these models to develop derisk and accelerate the adoption of innovative sustainable technologies by leveraging strategic external partnerships leading applied research and building partnerships across AWS teams. By continually pushing the boundaries of sustainability science we will strive to be a catalyst for a sustainable transformation across our customers our partners and the world.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5 years of building models for business applications
- PhD or Masters degree and 4 years of CS CE ML or other related field experience
- Experience programming in Python Java C or related language
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in any of the following areas: modeling and optimization of data centers and workloads physics-based modeling and simulation of building systems sustainable computing

- 5 years of experience in professional software development
- Fundamental data science and life cycle assessment (LCA) skills including experience with data cleaning statistical modeling and LCA system modeling
- Familiarity with AWS services and how they map to underlying hardware infrastructure including implications for power consumption in data centers.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.