Applied Scientist, NA Operations

Amazon is hiring an Applied Scientist, NA Operations in Bellevue, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Python, Java and C.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Applied Scientist building causal, forecasting, optimization, and generative AI models to improve operations safety and productivity.

PythonJavaCSQL

machine-learninggenerative-aimodelingoptimizationci-cd

Within Amazon's North American Operations, we are tackling mission-critical problems that center on improving employee safety and productivity. We build complex causal, forecasting, and optimization models to understand, predict, and optimize our network operations. We are seeking an Applied Scientist to drive the operational excellence of these models, deeply integrate across Amazon systems, and leverage generative AI to more intelligently build for our customers.

Check out the hiring managers LinkedIN article - https://www.linkedin.com/pulse/from-nuclear-power-network-intelligence-david-plews-brittany-sdkbe/

Key job responsibilities
- Interfacing with stakeholders to understand business problems and translating these into high and low-level design documents.
- Architecting, building, and deploying production-grade models to cloud-native environments, incorporating CI/CD best practices.
- Designing AI systems to provide model explainability, as well as automate customer workflows.
- Developing evaluation frameworks for models that identify quality regressions before customers do.

A day in the life
You will be a single-threaded owner of projects within Amazon Operations, owning project scoping, stakeholder engagement, data enablement, model development, and production launches. Your work will be directly consumed by partner teams throughout Operations and Finance, and hence a strong sense of ownership is required to educate both technical and non-technical stakeholders on developed science solutions.

About the team
Our team is comprised of Data Scientists, Applied Scientists, and Economists, and are trusted to make data-driven solutions that power operations decision making. We strive to build consensus on divisive topics through clear presentation of problem statements paired with deep analyses that gain visibility throughout all levels of the organization from operators to executives.

Basic qualifications

- Currently has, or is in the process of obtaining, a Master's degree or above in computer science, machine learning, engineering, or related fields
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience in building machine learning models for business application

Preferred qualifications

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

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 - 136,000.00 - 184,000.00 USD annually

How we rate this

Applied Scientist, NA Operations 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Applied Scientist, NA Operations is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $136k-$184k a year.
The role is based in US, WA, Bellevue.
The job was posted on August 4, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningGenerative AIModelingOptimizationCI/CDPythonJavaC

Also common in applied scientist jobs at this level

Deep learning LLM NLP Reinforcement learning TensorFlow Spark

Pay

This job starts at: $136k
Typical applied scientist job: $169k

This posting starts 20% below the typical applied scientist job. See applied scientist jobs

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 generative ai was part of your work. What did you do?
Tell me about a project where modeling 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 ci/cd was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Generative AI, Modeling, Optimization, and CI/CD. 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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