Senior Research Scientist, Sustainability, WW Sustainability
Amazon - New York, United States
Hiring: Senior Research Scientist, Sustainability, WW Sustainability Company: Amazon Location: New York, United States Job Posted Time: 2026-09-15 17:58:26 Employment Type: Full-time Target Skills & Keywords: Sustainability, Value Chain Decarbonization, Environmental Science, Quantitative Research, Statistical Modeling, R, Python, Attribution Methodologies, Measurement Methodologies, Benchmarking, Risk Assessment, Supply Chain, Cross-functional Collaboration Experience: - 5+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems and products - PhD, or Master's degree and 5+ years of quantitative field research experience Required Skills: - Knowledge of R or Python - Experience communicating qualitative research methods and findings to non-qualitative researchers - Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.) - Ability to independently lead assessments of environmental issues across the full spectrum of business operations - Ability to develop quality assessment frameworks, baseline-setting approaches, and measurement methodologies - Ability to build quantitative benchmark and statistical models for scalable evaluation across heterogeneous data sources - Ability to create attribution methodologies for supply chain interventions - Ability to develop social and environmental safeguard criteria integrating community impact assessments - Cross-functional collaboration with procurement, sustainability operations, and business units Qualifications: - PhD, or Master's degree with 5+ years of quantitative field research experience - Proven experience applying scientific principles and concepts to business problems and products - Strong background in quantitative research methods and statistical analysis - Experience serving as a Subject Matter Expert, including designing and leading research, data collection, modeling, documentation, interpretation, and validation - Experience translating scientific methodologies into operational requirements Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!