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Senior Applied Scientist, Optimal Sourcing Systems

Job ID: 2669097 | Services LLC


Amazon is looking for a Senior 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 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.

As a Senior 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
You will be a science tech leader for the team. As a Senior Applied Scientist you will:
- Lead a team of scientists to innovate on state-of-the-art sourcing systems.
- 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.
- 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.

To help describe some of our challenges, we created a short video about SCOT at Amazon:

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:

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA | New York, NY, USA


- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with deep learning methods and machine learning


- Have successful experience of applying hybrid techniques in the space of Machine Learning and Operations Research
- Have experience working with simulation systems
- Excellent written and verbal communication skills with technical and business people; ability to speak at a level appropriate for the audience.

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.