Join us at the cutting edge of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy.
At Amazon, we're 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 Amazon’s scale & speed to build a more resilient and sustainable company.
We manage 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 (SSI) is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
We use this expertise and skills to identify, develop and evaluate the science and innovations necessary for Amazon, customers and partners to meet their long-term sustainability goals and commitments.
We’re seeking a Senior Principal Scientist for Sustainability and Climate AI to drive technical strategy and innovation for our long-term sustainability and climate commitments through AI & ML.
You will serve as the strategic technical advisor to science, emerging tech, and climate pledge partners operating at the Director, VPs, and SVP level.
You will set the next generation modeling standards for the team and tackle the most immature / complex modeling problems following the latest sustainability / climate sciences.
Staying hyper current with emergent sustainability / climate science and machine learning trends, you'll be trusted to translate recommendations to leadership and be the voice of our interpretation.
You will nurture a continuous delivery culture to embed informed, science-based decision-making into existing mechanisms, such as decarbonization strategies, ESG compliance, and risk management.
You will also have the opportunity to collaborate with the Climate Pledge team to define strategies based on emergent science / tech trends and influence investment strategy.
As a leader on this team, you'll play a key role in worldwide sustainability organizational planning, hiring, mentorship and leadership development.
If you see yourself as a thought leader and innovator at the intersection of climate science and tech, we’d like to connect with you.
BASIC QUALIFICATIONS
- 15+ years of relevant, broad research experience post graduate degree (or equivalent)
- Deep expertise in climate science, environmental science, & computational sustainability
- Working knowledge in machine learning and artificial intelligence for sustainability and climate
- Proficiency in programming for models, algorithms and code reviews
PREFERRED QUALIFICATIONS
- PhD in climate science, environmental sciences, computational sustainability, mathematics, economics, or computer science (or related quantitative discipline)
- 15+ years of innovative climate science and climate tech research experience, with strong analytic and problem-solving skills
- 10+ years of experience building and deploying groundbreaking climate solutions at scale
- Expertise across many climate science based methodologies (e.g., science-based target settings, nature-based solutions for decarbonization verification, etc.).
- Published research work in academic conferences or industry circles
- Experience delivering complex end-to-end global forecasting systems that run at both at scale and across business functions
- Experience working with real-world complex data sets and building scalable models from big data
- Thinks strategically, but stays on top of tactical execution
- Exhibits excellent business judgment - balances business, product, and technology
- Effective communicator with both non-technical and technical audiences
- Track record of successful projects in model development, algorithm design and product development relevant to sustainability and climate tech
- Experience with mentorship and / or management of senior scientists and engineers
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