Research Scientist, WW Sustainability

Amazon•Seattle, WA

About The Position

Join us at of Amazon's sustainability initiatives to work on environmental advancements to 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. We are looking for a lead Life Cycle Assessment (LCA) researcher to join our growing Sustainability team. As a lead Life Cycle Assessment (LCA) researcher, you will be responsible for leading assessments of environmental issues across the full spectrum of Amazon businesses and evaluating the sustainability impacts across the value chain. The ideal candidate will have strong industry experience modeling complex systems, developing LCAs and emission factors (EFs), collecting and analyzing data, and reporting results to leaders through visualizations and metrics. The candidate must be experienced working with imperfect data, and quantifying and identifying sources of uncertainty. The successful candidate must have strong math skills and the ability to apply systems thinking to complex, fast moving problems. The candidate must have strong working-knowledge of scientific methods and international standards (GHG Protocol, ISO), with extensive experience using Ecoinvent, GaBi, and USEEIO databases. This candidate will also work under the direction of senior business leaders, but will act as lead Subject Matter Expert for all LCA-related analyses at Amazon, including designing and leading research, data collection, modeling, documentation, interpretation, and validation About the team Diverse Experiences: World Wide Sustainability 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. Inclusive Team Culture: 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 (inclusive diversity) conferences, inspire us to never stop embracing our uniqueness. 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: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Knowledge of R, MATLAB, Python or similar scripting language
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products

Nice To Haves

Experience with agile development
Experience consulting with senior leadership and executives in a fast-paced environment
Experience programming, prototyping and scripting with Oracle, SQL, Hive, Pig, SAS, R, Weka, or Python

Responsibilities

Create and maintain ambiguous and/or complex LCA methodologies and models, including experimentation of footprint methods
Develop documentation for validations and assurance purposes
Ideate the creation and interpretation of innovative and novel methods and standards
Scales validations of methodologies or complex models for use in Amazon’s Corporate Carbon Footprint
Conducts research on new machine-learning and AI models and develop comprehensive data foundation, accurate and scalable methods to solve our hardest sustainability problems