DESCRIPTION

The Worldwide Sustainability (WWS) organization leverages Amazon’s 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 to become more sustainable.
We are seeking an experienced science leader to drive foundational innovations in sustainability measurement and planning across Amazon’s global operations. This role will tackle complex sustainability challenges across all industrial sectors and geographic regions where Amazon operates, building science-driven capabilities for confident decision-making and investments in sustainability initiatives.
You will lead a multidisciplinary team of scientists, economists, engineers, and scholars to deliver transformative solutions across multiple environmental impact areas, including carbon, water, waste, biodiversity, and circularity. Your mission centers on building robust measurement systems that accurately capture our current environmental footprints and track progress through actionable metrics, while developing planning capabilities to project future trajectories, quantify initiative impacts, and align goals with the latest environmental science standards.
This role is uniquely positioned at the cutting edge of sustainability science, where your leadership will guide teams in leveraging diverse analytical approaches including AI and machine learning, systems simulation, optimization, and life cycle assessment (LCA) to create cost-effective solutions across Amazon’s operations. You will own company-wide sustainability science review mechanisms, ensuring methodological rigor while pioneering generative AI applications that transform how we validate data, align methodologies, and generate insights at scale.
Success in this role requires building strong relationships across diverse stakeholder groups, translating complex concepts between sustainability domain experts and business leaders across the organization.
You will collaborate closely with engineering teams, program teams, and business units to transform emerging scientific standards into practical, scalable solutions, coordinating project planning and resource allocation across multiple teams and initiatives. Your leadership will be instrumental in developing methodologies and models that help Amazon achieve its sustainability goals.

Key job responsibilities

• Lead and develop a multidisciplinary team of scientists, economists, and engineers to deliver innovative sustainability solutions
• Design and execute unified science strategies for measurement, forecasting, and planning across environmental impact areas (carbon, water, waste, biodiversity, circularity)
• Develop integrated methodologies spanning key economic sectors (transportation, buildings, cloud computing, packaging, commodities, products/services)
• Guide integration of diverse analytical approaches into measurement and forecasting systems, including AI/ML, simulation, optimization, and life cycle assessment.
• Own and oversee company-wide Sustainability Science Review processes to maintain methodological rigor and consistency
• Partner with product, engineering, and business teams to translate science insights into operational improvements
• Provide strategic guidance on emerging science standards, protocols, and data requirements

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.

BASIC QUALIFICATIONS

- - Master’s degree in science, Engineering, Statistics, Economics, Computer Science, or related field

- - 15+ years of experience in environmental science, operations research, climate science, mathematics, statistics, computer science, or related fields

• 5+ years leading and managing multidisciplinary science and engineering teams
• • Proven experience building forecasting, planning, optimization, and analytics models or systems
• • Demonstrated ability to collaborate effectively with product and engineering teams
• • Strong project management and execution capabilities
• • Excellent written and verbal communication skills for diverse audiences, from technical teams to senior leadership

PREFERRED QUALIFICATIONS

• PhD in Science, Engineering, Statistics, Economics, Computer Science, or related field
• 10+ years of post-PhD experience in relevant scientific or technical domains
• Track record of deploying science methodologies for high-impact operational and strategic decisions at scale
• Experience integrating scientific models and insights into production systems and technologies
• Demonstrated success partnering with cross-functional teams and business units
• Expertise in applying diverse modeling approaches (ML/AI, simulation, optimization) to complex sustainability challenges
• Some knowledge of environmental standards, protocols, and reporting frameworks (optional)
• Experience leading the transformation of traditional methodologies and workflows through generative AI integration and automation
• Exceptional ability to communicate complex technical concepts to varied audiences, including executives and external stakeholders
  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $187,500/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site

• Lead and develop a multidisciplinary team of scientists, economists, and engineers to deliver innovative sustainability solutions
• Design and execute unified science strategies for measurement, forecasting, and planning across environmental impact areas (carbon, water, waste, biodiversity, circularity)
• Develop integrated methodologies spanning key economic sectors (transportation, buildings, cloud computing, packaging, commodities, products/services)
• Guide integration of diverse analytical approaches into measurement and forecasting systems, including AI/ML, simulation, optimization, and life cycle assessment.
• Own and oversee company-wide Sustainability Science Review processes to maintain methodological rigor and consistency
• Partner with product, engineering, and business teams to translate science insights into operational improvements
• Provide strategic guidance on emerging science standards, protocols, and data requirement