drjobs Applied Scientist III, Optimal Sourcing Systems

Applied Scientist III, Optimal Sourcing Systems

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1 Vacancy
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Job Location drjobs

Bellevue - USA

Yearly Salary drjobs

$ 150400 - 260000

Vacancy

1 Vacancy

Job Description

Amazon is looking for an Applied Scientist to help build the next generation of sourcing and vendor experience systems. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing the orchestration of inbound flows from vendors worldwide inventory planning and buying. 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 reliable access to supply improve supply chain-driven vendor experience reduce end-to-end supply chain costs optimize inventory efficiency all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon. As an Applied Scientist you will work with software engineers product managers and business teams to understand the business problems and requirements distill that understanding to crisply define the problem and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges including optimization causal inference and machine learning/deep learning. Some critical research areas in our space include modeling buying decisions under high uncertainty vendors behavior and incentives supply risk and enhancing visibility and reliability of inbound signals.

Key job responsibilities
- Set the scientific strategic vision for the team. You lead the decomposition of problems and development of roadmaps to execute on it.
- Set an example for other scientists with exemplary scientific analyses; maintainable extensible and well-tested code; and simple intuitive and effective solutions.
- Build solutions in production environments.
- Influence team business and engineering strategies.
- 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.
- Foster collaborations between scientists across Amazon researching similar or related problems. - Actively engage in the development of others both within and outside the team.
- Engage with the broader scientific community through presentations publications and patents.

- 3 years of applied research experience
- Experience programming in Java C Python or related language
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field

- Have successful experience of applying both Machine Learning and Operations Research to solve complex problems in Supply Chain Management.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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
This position will remain posted until filled. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

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