Sr. Sustainability Scientist, AWS Sustainability
Amazon
- Seattle, WA
- $127,300 per year
- Permanent
- Full-time
In this role you will be responsible for:
- Serving as an AWS subject matter expert in Sustainability
- Developing Life Cycle Assessment (LCA) methodologies to ensure AWS has an accurate and credible basis for sustainability efforts.
- Developing internal LCA models for AWS infrastructure and services including server hardware and mechanical and electrical systems
- Conducting LCAs including research, data collection, modeling, data analysis, data visualization, and reporting to quantify environmental impacts of our data centers and cloud computing services
- Developing reports, dashboards and metrics which distill complex data into actionable insights to inform improvements
- Building and developing relationships with internal and external stakeholders to drive programs to completion
- Work closely with software engineering teams to drive real-time model implementations and new features
- Having fun and working hard!
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.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Seattle, WA, USABASIC QUALIFICATIONS- Advanced Degree (MS/PhD) in an engineering discipline or other sustainability science related field
- 5+ years applying Life Cycle Assessment (LCA), GHGP, and other sustainability assessment methods and/or conducting sustainability research and/or driving data-driven sustainability improvements;
- 2+ year of experience in product and service-level LCA and the application of LCA to electrical and mechanical systems;
- 1+ year basic scripting experience in Python, R, or similar.PREFERRED QUALIFICATIONS- PhD in engineering discipline or other sustainability science related technical fields;
- 5+ years applying LCA and carbon footprinting methodologies to electronics and/or other products with electrical and mechanical systems;
- Experience with LCA databases (ecoinvent, GaBi, etc.);
- Experience with prototyping parameterized models using scripting languages and AWS services;
- Knowledge of manufacturing practices across hardware supply chains;
- Knowledge of data structures and experience in working with large and messy datasets.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 $127,300/year in our lowest geographic market up to $247,600/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.