Applied Scientist, AWS Economics and Science

Key Job Responsibilities

• Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions.
• Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems.
• Work with business stakeholders to understand requirements, validate approaches, and ensure practical applicability of scientific solutions.
• Promote findings at internal conferences and contribute to the team's reputation for methodological excellence.

• 3 years of building models for business application experience.
• PhD, or Master's degree and 4 years of CS, CE, ML or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

• Experience using Unix/Linux.
• Experience in professional software development.

• USA, CA, San Francisco -  -  USD annually
• USA, NY, New York -  -  USD annually
• USA, WA, Seattle -  -  USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.