Applied Scientist, SCOT-Inbound Systems
Listed on 2026-08-28
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Description
As part of IRR (Inventory Routing and Replenishment) organization within SCOT-Inbound systems, Applied Scientists own algorithms powering inventory routing, replenishment, and modeling / simulation of Amazon's fulfillment network utilizing optimization and machine learning toolsets. We are looking for a talented applied scientist with a passion for designing and implementing efficient and elegant scientific solutions for Amazon-scale supply chain problems.
As part of IRR (Inventory Routing and Replenishment) organization within SCOT-Inbound systems, Applied Scientists own algorithms powering inventory routing, replenishment, and modeling / simulation of Amazon's fulfillment network utilizing optimization and machine learning toolsets. We are looking for a talented applied scientist with a passion for designing and implementing efficient and elegant scientific solutions for Amazon-scale supply chain problems.
Key job responsibilities- Design and develop advanced mathematical optimization and machine learning solutions in the domains of inventory optimization, distribution optimization, network design, and control theory.
- Use methods in learned and model-based online and offline control techniques and algorithms to design efficient exact or heuristic solution methodologies to be used by in-house decision support tools and software.
- Research, prototype, simulate, and experiment with these models using programming languages such as Java and Python; participate in the production level deployment.
- Closely work with software engineering teams and write well-tested production Java/Python code for science modules within engineering-managed services. Provide time-sensitive on-call support and high-severity issue support when bugs are identified in production code. Improve code quality of legacy scientific production code.
- Create, enhance, and maintain technical documentation and science designs.
- Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders.
- Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.
- Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists.
- Engage with customers to understand their problems.
- Collaborate with product partners and peers to design and deliver algorithmic solutions to these problems.
- Implement these solutions in java within engineering systems through close collaboration with engineering partners achieving high code quality.
- Deploy and measure impact of implementations.
- Support customers and stakeholders whenever deep-dives and enhancements are needed as they relate to scientific products the team owns.
- Contribute to product roadmap through new innovations on behalf of customers.
- Publish work in internal and external scientific community.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale,
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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