Research Scientist, WW Sustainability

Amazon • Seattle, WA

1d

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees