Sr. Research Scientist III, WW Sustainability

Amazon.com, Inc.•Seattle, WA

45d

About The Position

Join the Worldwide Sustainability (WWS) organization where we capitalize on our size, scale, and inventive culture to build a more resilient and sustainable company. WWS manages our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world around us to become more sustainable. Sustainability Science and Innovation is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise to identify, evaluate and/or develop new science, technologies, and innovations that aim to address long-term sustainability challenges. We are looking for a Sr. 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. In this role, you will leverage your breadth of expertise in AI models and methodologies and industrial research experience to build scientific tools that inform sustainability strategies related to materials and energy. The successful applicant will lead by example, pioneering science-vetted data-driven approaches, and working collaboratively to implement strategies that align with Amazon's long-term sustainability vision.

Requirements

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

Nice To Haves

Experience converting research studies into tangible real-world changes
Experience with discrete and continuous optimization methodologies and algorithms

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.