Job Details

Senior Applied Scientist, WW Sustainability

Job ID: 2912764 | Amazon.com Services LLC

Join the Worldwide Sustainability (WWS) organization where we capitalize on our 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 around us to become more sustainable.

Sustainability Science and Innovation is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise to identify, evaluate and/or develop new science, technologies, and innovations that aim to address long-term sustainability challenges.

We are seeking an experienced Senior Applied Scientist to play a key role on our team. In this role, you will leverage your breadth of expertise in data science methodologies, statistical modeling, and scientific programming to analyze complex datasets, build scientific tools, and inform sustainability strategies across carbon, waste, and water management.

The successful applicant will lead by example, pioneering science-vetted data-driven approaches, and working collaboratively to implement strategies that align with Amazon's long-term sustainability vision.

You will be at the forefront of exploring and resolving complex sustainability issues, bringing innovative ideas to the table, and making meaningful contributions to projects across SSI's portfolio. This role not only demands technical expertise but also a strategic mindset and the agility to adapt to evolving sustainability challenges through self-driven learning and exploration.

Key job responsibilities

1. Own the design and development of scientific scripts to solve complex and ambiguous problems, and extract strategic learnings from large datasets.
2. Effectively influence stakeholders across partner teams through strong communication, and high-quality technical artifacts.
3. Professionally communicate your work to senior business leaders and the broader science community.
4. Work closely with software engineering teams to implement your scientific models.
5. Lead early-stage strategic sustainability initiatives and effectively learn from, collaborate with, and influence stakeholders to scale-up high-value initiatives.

BASIC QUALIFICATIONS

- PhD, or Master's degree and 5+ years of post-graduate experience in Computer Science, Engineering, or related technical field
- 3+ years of experience identifying and framing new research problems where no established solutions exist, with demonstrated ability to drive scientific agenda across multiple teams
- Strong track record of designing and implementing end-to-end scientific solutions in production environments, including writing critical-path code and making system-level architectural decisions
- Hands-on experience with advanced machine learning techniques (e.g., deep learning, reinforcement learning) and large-scale data processing, demonstrated through successful product deployments

PREFERRED QUALIFICATIONS

- Deep expertise in sustainability-related modeling approaches, such as emissions forecasting, techno-economic modeling, or environmental impact assessment
- Experience leading scientific reviews and building consensus across multiple teams, including mentoring other scientists and improving team capabilities
- Track record of delivering solutions that significantly impact organizational goals, particularly in sustainability or environmental contexts
- Publication history in top-tier conferences or journals in relevant fields, with demonstrated ability to influence organization-level scientific strategy and roadmaps

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.