Applied Scientist II, Sustainability Science and Innovation

Join us at the Amazons sustainability initiatives to work on environmental and social advancements to support Amazons long term worldwide sustainability strategy. At Amazon were working to be the most customer-centric company on earth. To get there we need exceptionally talented bright and driven people.

The Worldwide Sustainability (WWS) organization capitalizes on Amazons scale and speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally and drive solutions that enable our customers businesses and the world to become more sustainable.

Sustainability Science and Innovation (SSI) is a multi-disciplinary team within WW Sustainability combining science analytics economics statistics machine learning product development and engineering expertise. We use data across the sustainability imperatives (carbon water waste biodiversity environmental risk and more) and these skills and capabilities to identify develop experiment and scale the scientific solutions and innovations necessary for Amazon customers and partners to help them solve their hardest unmet and evolving sustainability needs and goals.

The Sustainability Science and Innovation team is looking for an Applied Scientist II to collaborate closely with Economists and Environmental Scientists to build the AI/ML foundation of the future. You will define modeling strategies and implement tooling to identify ingest harmonize store and maintain strategic models and data from both internal and external sources.

These models and datasets must cover a wide range of topics in emerging areas and applications of AI for sustainability. This AI solutions development will support Amazon-wide sustainability initiatives like carbon footprint climate risk monitoring and social responsibility through the supply chain.

These datasets must cover a wide range of topics such as geographic regions and data formats to unlock foundational AI research in emerging areas and applications. These solutions development will support Amazon-wide sustainability initiatives like carbon footprinting climate risk monitoring and social responsibility through the supply chain.

If you see yourself as a go-getter and innovator at the intersection of AI data and sustainability wed like to connect with you. You dont necessarily have to be an expert in sustainability and climate domains.

Key job responsibilities
- Implementing and maintaining data and AI/ML infrastructure to support a wide variety of large and complex data sets ensuring high performance availability and integrity.
- Identifying and solving data needs for Gen AI and benchmarking for tasks across the sustainability domain.
- Developing and optimizing robust data pipelines for internal data from sources such as Product Lifecycle Management tools Product Details (images text and structured data) Inventory Management Platforms and financial systems.
- Implement web-scale data collection for images text structured data across locations and sustainability domains.
- Develop comprehensive monitoring alarming and data quality controls for all of the above.
- Partnering with Scientists and Software Engineers to create our data collection strategy and ML Ops best practices.

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Inclusive Team Culture:
Its 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:
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually