Applied Scientist, NA Operations
About the role
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.
Responsibilities
- Interface with stakeholders to understand business problems and translate these into high and low-level design documents.
- Architect, build, and deploy production-grade models to cloud-native environments, incorporating CI/CD best practices.
- Design AI systems to provide model explainability, as well as automate customer workflows.
- Develop evaluation frameworks for models that identify quality regressions before customers do.
- Serve as a single-threaded owner of projects within Amazon Operations, owning project scoping, stakeholder engagement, data enablement, model development, and production launches.
- Educate both technical and non-technical stakeholders on developed science solutions, as your work will be directly consumed by partner teams throughout Operations and Finance.
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.
Qualifications
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.
- Publications at top-tier peer-reviewed conferences or journals.
Pay
The base salary range for this position is $136,000 - $184,000 USD annually. 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.
Benefits
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans).
- Employee Assistance Program (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 amazon.jobs/en/benefits.