Amazon Fulfillment Optimization, Network Planning and Fulfillment Execution Science group is seeking a Principal Applied Scientist with expertise in Machine Learning and a proven record of solving business problems through scalable ML solutions.Network Planning and Execution tackles some of the most mathematically complex challenges in facility and transportation planning to improve Amazon's operational efficiency worldwide. We own Amazon's global fulfillment center and transportation topology planning and execution. The team also owns the short-term network planning that determines the optimal flow of customer orders through Amazon fulfillment network. This includes developing sophisticated math models and controllers that assign orders to fulfillment centers to be picked and packed and then planning the optimal ship method in terms of cost, speed and carbon impact to deliver to the customer. These plans drive downstream decisions that are in the billions of dollars. The systems we build are entirely in-house, and are on the cutting edge of both academic and applied research in large scale supply chain planning, optimization, machine learning and statistics. These systems operate at various scales, from real-time decision system that completes thousands of transactions per seconds, to large scale distributed system that optimize Amazon's fulfilment network. As Amazon continues to build and expand the first party delivery network, this role will be critical to realize this vision. Your tech solution will have large impacts to the physical supply chain of Amazon, and play a key role in improving Amazon consumer business's long-term profitability. If you are interested in diving into a multi-discipline, high impact space this is the team for you.Key job responsibilitiesAs a Principal Applied Scientist within Network Planning and Execution team, you will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. You will have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry, with some of the best product managers, research scientists, statisticians, and software engineers to integrate scientific work into production systems. You will partner with the senior tech leaders in the organization to define the long-term vision of our network planning and execution systems. You will play a key role in developing long term strategic solutions that have business impact beyond the scope of the organization. You will bring deep technical expertise in the area of Machine Learning, and will play an integral part in building Amazon's Fulfillment Optimization systems. Other responsibilities include:* Research and develop machine learning models to solve diverse business problems faced within Network Planning and Execution team.* Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.* Review and audit modeling processes and results for other scientists, both junior and senior.* Advocate the right ML solutions to business stakeholders, engineering teams, as well as executive level decision makers* You will ensure senior leaders in the organization are up to speed on important trends, tools and technologies and how they will be used to impact the business.A day in the lifeIn this role, you will be a technical leader in machine learning with significant scope, impact, and high visibility. Your solutions will impact business segments worth many-billions-of-dollars and geographies spanning multiple countries and markets. As a Principal Applied Scientist on the team, you will be involved in every aspect of the process - from ideation, business analysis and scientific res