Principal Research Scientist, Supply Chain Optimization Technologies - Optimal Sourcing Systems

About the position

The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Research Scientist to join our Optimal Sourcing Systems team. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase access to supply for speed and placement, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon. 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. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.

Responsibilities

• Design, implement and evaluate models, agents and software prototypes
• Technical leadership for a group of highly motivated and talented scientists
• Influence team business and engineering strategies
• Work closely with partner teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business
• Collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community
• Raise the bar of scientific research by innovating and publishing
• Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs
• Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.

Requirements

• Ph.D. in Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field
• 7+ years of experience in solving complicated problems in the area of Operations Management or similar disciplines developing strategies for large-scale logistic networks
• 7+ years of hands-on experience in building machine learning or optimization models in business environment
• Proven track in leading, mentoring, and growing teams of scientists.

Nice-to-haves

• Have research/industrial experience of inventory/supply chain optimization
• Have experience working with simulation systems
• Have successful experience of applying hybrid techniques in the space of Machine Learning and Operations Research
• Excellent written and verbal communication skills with technical and business people; ability to speak at a level appropriate for the audience
• Have production coding experience in one of the object-oriented programming languages such as Java, Python, C++, etc.

Benefits

• Medical benefits
• Financial benefits
• Equity options
• Sign-on payments
• Comprehensive employee benefits package