Sr. Sustainability Scientist, AWS Sustainability

Amazon • Seattle, WA

1d

About The Position

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 in sustainability 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 a Sr. Sustainability Scientist.
This role will support our sustainability goals by developing scalable methods
and models to assess and improve 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 long-term planning.

The ideal candidate will have industry experience in driving Life Cycle
Assessments (LCAs) of products and services, a data science foundation in
forecasting methods, possess a strong understanding of the GHG Protocol and
carbon accounting practices, and have a first principles knowledge of cloud
infrastructure . 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 should have familiarity with LCA methods and applications. The
successful candidate will act as a subject matter expert, including designing
research, gathering data, interpreting results, and developing science-driven
narratives. The candidate will operate within a cross-functional project team in
gathering and analyzing large amounts of data.

Requirements

• 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
• PhD, or Master's degree and 5+ years of quantitative field research experience
• Experience communicating qualitative research methods and findings to non-qualitative researchers

Nice To Haves

• Experience converting research studies into tangible real-world changes
• Experience with discrete and continuous optimization methodologies and algorithms
• 5+ years applying Life Cycle Assessment, GHGP, and other sustainability assessment methods and/or driving data-driven research and sustainability improvements;
• 5+ years applying LCA and carbon footprinting methodologies to electronics and/or other products with electrical and mechanical systems;
• Experience with LCA modeling and databases (ecoinvent, etc.);
• Experience with prototyping parameterized models using scripting languages and AWS services;
• Demonstrated knowledge of manufacturing practices across hardware supply chains;

Responsibilities

• Developing Life Cycle Assessment (LCA) methodologies to ensure AWS has an accurate and credible basis for sustainability efforts.
• Developing internal LCA models and forecasting methods for AWS infrastructure and services
• Conducting deep dives to identify, evaluate, and incubate emerging technologies that are informed by the insights from the models built.
• Collaborating with an engineering team to develop dashboards and tools to support long-term planning.
• Building and developing relationships with internal and external stakeholders to drive programs to completion

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree