Amazon Research Scientist WW Sustainability 

United States, Washington, Seattle 

149147131

We are looking for a Research Scientist to help us develop and drive innovative scientific solutions that will improve the sustainability of materials in our products, packaging, operations, and infrastructure. You will be at the forefront of exploring and resolving complex sustainability issues, bringing innovative ideas to the table, and making meaningful contributions to projects across SSI’s portfolio. This role not only demands technical expertise but also a strategic mindset and the agility to adapt to evolving sustainability challenges through self-driven learning and exploration.
Key job responsibilities
- Develop scientific models that help solve complex and ambiguous sustainability problems, and extract strategic learnings from large datasets.
- Work closely with applied scientists and software engineers to implement your scientific models.- Support research and development of cross-cutting technologies for industrial decarbonization, including building the data foundation and analytics for new AI models.
- Drive innovation in key focus areas including packaging materials, building materials, and alternative fuels.
About the team
Diverse Experiences:
World Wide Sustainability (WWS) values diverse experiences. Even if you do not meet all of the 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.
Mentorship & 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.Work/Life Balance:

- PhD in Materials Science, Chemical Engineering, or related technical field
- 2+ years of industry experience (post graduate work)
- Experience identifying and framing new research problems where no established solutions exist
- Hands-on experience with advanced machine learning techniques, AI models, and building foundational data
- Strong technical communication skills with an emphasis on writing
- Strong ability to work autonomously and deliver results

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.