About the job
Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements that support Amazon's long-term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people who are passionate about making a meaningful impact on communities and the environment while helping shape the future of sustainable business practices.
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 early-stage strategic sustainability initiatives and effectively learn from, collaborate with, and influence stakeholders to scale-up high-value initiatives.
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.
Qualifications
Minimum
5+ 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 with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Experience communicating qualitative research methods and findings to non-qualitative researchers
Preferred
Extensive experience in autonomous experimentation, materials or chemical sciences, and AI-driven research methodologies.
Proven ability to lead cross-functional teams, establish research priorities, and drive scientific innovation from concept to implementation.
Deep technical expertise in laboratory automation combined with strategic vision for translating research into practical applications.