Sr. Applied Scientist, WW Sustainability

Amazon • Seattle, WA

20d

About The Position

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 a Sr. Applied
Scientist to collaborate closely with Economists and Environmental Scientists to
build the AI/ML foundation of the future. You will define strategy 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 hands-on leader and innovator at the intersection of
AI, data, and sustainability, we'd like to connect with you. You don't
necessarily have to be an expert in sustainability and climate domains.

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Nice To Haves

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

• Designing, 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 foundational model training 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.
• Design and 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree