Applied Scientist, NA Operations

Amazon

Bellevue (WA)

On-site

USD 136,000 - 184,000

Full time

14 days+

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Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Bellevue, WA seeks an Applied Scientist to advance operational models across North American Operations. You will own project scoping, data enablement, model development, and production launches, engaging with technical and non-technical partners across Operations and Finance.

The role emphasizes ownership and scalable AI solutions. The team includes Data Scientists, Applied Scientists and Economists, focusing on data-driven decisions and transparent problem statements.

Qualifications

Master's degree or higher in a relevant field is required or in process.
Experience programming in Java, C++, Python or related language.
Experience with SQL and an RDBMS or Data Warehouse.
Experience building machine learning models for business applications.
Experience implementing algorithms using toolkits and self-developed code.
Publications in top-tier conferences or journals.

Responsibilities

Interfacing with stakeholders to translate business problems into design documents.
Architecting, building, and deploying production-grade models to cloud-native environments with CI/CD.
Designing AI systems for model explainability and customer workflows automation.
Developing evaluation frameworks to detect quality regressions before customers.

Skills

Java

C++

Python

SQL

ML modeling

Algorithm design

Publications

Education

Master's degree or above in computer science, machine learning, engineering, or related fields

Job description

ID lavoro: 10492292 | Amazon.com Services LLC

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.

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.

Requirements

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.
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.

Qualifiche Preferenziali

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.

USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually

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