Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re 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 we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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 you’ll 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 world’s preeminent cloud computing company?

The AWS Sustainability Science team is hiring an Applied Scientist. 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 AWS’s environmental impacts, and enable strategic communication of our carbon emissions.

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 strategic data from both internal and external sources. 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 coordinate with research 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,

-Perform data analysis and provide visualizations,

-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 corporate initiatives,

-Solve analysis problems that improve Amazon’s 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 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.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 1+ years of building models for business applications

• PhD, or Master's 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

Preferred Qualifications

• 1+ years of experience in professional software development

• 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

• Experience in patents or publications at top-tier peer-reviewed conferences or journals

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.