Senior Applied Scientist, Strategic Sourcing Science

AI in this role

Lead the design and implementation of machine learning and optimization solutions for global supply chain sourcing systems.

pytorchtensorflowpythonreinforcement-learningdeep-learning

machine-learningoptimizationsupply-chain

Amazon Supply Chain Optimization Technology (SCOT) Optimal Sourcing Systems (OSS) is looking for an Senior Applied Scientist to help build the next generation strategic sourcing systems. The 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 reliable access to supply, 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.

This role specifically requires a candidate with expertise in optimization, inventory control theory, and reinforcement learning, alongside the standard qualifications for an Amazon Applied Scientist III. The selected candidate will primarily work to lead the design and implementation of science solutions for the Optimal Sourcing Supply Chain project, which evaluates and compares various retail sourcing and vendor inbound strategies to identify the most effective approaches.

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. 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.

Key job responsibilities
- Set the scientific strategic vision for the team. Lead problem decomposition and roadmap development.
- Identify and frame research challenges in ambiguous problem areas; invent novel methodologies to address them. Distinguish between problems requiring novel solutions versus those addressable with existing approaches.
- Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.
- Set an example with exemplary scientific analyses; maintainable, well-tested code; and simple, effective solutions.
- Drive the design of scientifically-complex software solutions, personally writing critical-path code that embodies scientific novelty. Deploy novel models into production with a track record of impactful delivery.
- Develop reusable science components that resolve architecture deficiencies; set standards and drive adoption of state-of-the-art techniques.
- Influence team business and engineering strategies. - Communicate effectively with stakeholders to drive alignment and build consensus.
- Foster collaborations between scientists across Amazon researching similar problems. Proactively resolve endemic issues where the team's technologies bottleneck other teams.
- Actively engage in the development of others, both within and outside the team.
- Participate in the science hiring process and engage with the broader scientific community through publications, presentations, and patents.

Basic qualifications

- 5+ years of applied research experience
- PhD in operations research, applied mathematics, theoretical computer science, plus 5+ years industry experience
- Knowledge of supply chain management, inventory control, stochastic optimization
- Proven track record of launching novel scientific solutions in highly ambiguous domains — from problem formulation through research, prototyping, and production deployment
- Proficiency in coding (e.g., Python) with experience developing production-quality scientific software
- Technical depth in one or more of: mathematical optimization, causal inference, stochastic modeling, or sequential decision-making

Preferred qualifications

- Publication record in operations research, machine learning, or a related quantitative field
- Experience designing and analyzing experiments in operational or supply chain settings
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually

How we rate this

Senior Applied Scientist, Strategic Sourcing Science at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Applied Scientist, Strategic Sourcing Science is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $167k-$226k a year.
The role is based in US, WA, Bellevue.
The job was posted on October 5, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine LearningOptimizationSupply ChainPyTorchTensorFlowPythonReinforcement LearningDeep Learning

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where optimization was part of your work. What did you do?
Tell me about a project where supply chain was part of your work. What did you do?
What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine Learning, Optimization, Supply Chain, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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