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
[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
[https://www.aboutamazon.com/workplace/employee-benefits]. This position will
remain posted until filled. Applicants should apply via our internal or external
career site.