Amazon.com Services LLC
Applied Science, fulfillment ops
AppliedScientistII,WWSustainability
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II, WW Sustainability at Amazon.com Services LLC. Skills: AI, Data Science, Machine Learning. Implement data and AI/ML infrastructure. Identify data needs for Gen AI”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
PhD, Experience using Unix/Linux, Experience in professional software development
What You'll Do.
Implement data and AI/ML infrastructure
Identify data needs for Gen AI
Benchmark tasks across sustainability domain
Develop data pipelines
Optimize data pipelines
Implement web-scale data collection
and data quality controls
Partner with Scientists and Software Engineers
Create data collection strategy
Create ML Ops best practices
How You'll Work.
Team & Collaboration
Partnering with Scientists; Partnering with Software Engineers
Full Job Description
Join us at the 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 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
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