Research Scientist, Research Scientist, Scot

1 week ago

Toronto, Canada AMZN CAN Fulfillment Svcs, ULC Full time

PhD in operations research, management science, statistics, engineering, mathematics, or computer science and 4+ years of related work experience
- Interact with various software and business groups to develop an understanding of their business requirements and operational processes.
- Experience with Reinforcement learning and Multi-arm bandit algorithms is desired.
- Communication: Able to convey mathematical results in plain English, being able to clarify and formalize complex problems. Functional thought leader, sought after for key tech decisions.

Job summary
Our systems use real time, large scale optimization and reinforcement learning techniques to automatically procure and source the product from suppliers and optimize the flow of goods across the supply chain to minimize the cost and lead time for customers. Our team is focused on saving hundreds of millions of dollars using cutting edge science, machine learning, and scalable distributed software on the Cloud that automates and optimizes supply chain under the uncertainty of demand, pricing and supply. We are unique in that we’re simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Unlike many companies who buy existing off-the-shelf planning systems, we are responsible for studying, designing, and building systems to suit Amazon’s needs. Our team members 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/economists and software developers in the business.

In joining our team, you'll enjoy a highly competitive salary, growth, working closely with smart engineers and researchers along with other benefits. We have a creative and comfortable work environment and this is your opportunity to be part of a fast-paced and growing technology team.

Key job responsibilities
Supply chain management, optimization, operations research, machine learning, reinforcement learning, Multi-arm bandit
- Identify areas with potential for improvement and work with internal teams to generate requirements that can realize these improvements.
- Can successfully sell ideas to an executive level decision maker. Can present company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

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