Description

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 to drive technical strategy and innovation for our long-term sustainability and climate commitments through the latest science trends and emergent technologies, including 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. You will stay current with emergent sustainability/climate science and machine learning trends, translate for leadership and be the external 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 collaborate with the team to define emergent strategy for The Climate Pledge (TCP) based on emergent science and tech trends and influence investment strategy. You’ll also participate 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 meet you.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

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

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $250,000/year in our lowest geographic market up to $350,000/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. Applicants should apply via our internal or external career site.