Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of solving the toughest real-world supply chain problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us! The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Applied Scientist to join our Optimal Sourcing Systems team. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound... more details
DESCRIPTION
Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of solving the toughest real-world supply chain problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us!
The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Applied 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 businesss 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.
- Design, implement and evaluate models, agents and software prototypes - Technical leadership for a group of highly motivated and talented scientists - Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements - Work closely with partner teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business - Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazons vibrant and diverse global science community - Raise the bar of scientific research by innovating and publishing
A day in the life In this role, you will have opportunity to work with partners and stakeholders from Amazons retail, seller and operation departments worldwide. You will understand their challenges and pain points, and help develop solutions that improve how Amazon source inventory and enable world class vendor experiences. To implement your solutions, you will work closely with our product and engineering teams. Your work will have high visibility and impacts to Amazons business operation.
About the team Supply Chain Optimization Technologies (SCOT) owns Amazon's global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We decide how to place and move inventory within Amazon's fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide. Check our website if you are curious to learn more about the breadth of problems we tackle: https://www.amazon.science/tag/supply-chain-optimization-technologies
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA | New York, NY, USA
BASIC QUALIFICATIONS
- PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Operations Research or a related quantitative field - 7+ years of relevant, broad research experience after PhD - Have production coding experience in one of the object-oriented programming languages such as Java, Python, C++, etc. - Strong algorithm development experience - Depth and breadth in state-of-the-art machine learning and Optimization technologies - 7+ years of hands-on experience in building machine learning or optimization models in business environment - Strong prior experience with mentorship and/or management of senior scientists and engineers
PREFERRED QUALIFICATIONS
- Knowledge of the latest trends in related areas in Machine Learning - Expertise in Machine Learning or Reinforcement Learning - Proven track record of innovation in creating novel algorithms and advancing the state of the art
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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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