AI-Driven Applied Scientist for Supply Chain

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon is seeking an Applied Scientist II in Seattle to design, develop, and deploy machine learning models for demand forecasting, inventory optimization, anomaly detection, and supply chain decision-making. You will build generative AI and agentic AI solutions to automate complex workflows and provide adaptive recommendations at scale.

You will lead end-to-end applied science projects from ideation through offline evaluation, A/B testing, and production deployment, collaborating with

Qualifications

• 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 programming in Java, C++, Python or related language

Responsibilities

• Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, anomaly detection, and supply chain decision-making.
• Develop generative AI and agentic AI solutions that automate complex supply chain workflows and deliver intelligent, adaptive recommendations to customers.
• Formulate real-world business problems as machine learning problems; define data requirements, model architectures, evaluation metrics, and experimentation frameworks.
• Drive end-to-end applied science projects from ideation through experimentation, offline evaluation, A/B testing, and production deployment at scale.
• Collaborate with engineering, product management, and business stakeholders to translate scientific capabilities into customer-facing product features, and mentor other scientists to raise the team's technical bar.

Skills

Python

Java

C++

Education

PhD

Master's degree + 4+ years CS/CE/ML

Tools

Unix/Linux

Job description

Amazon is seeking an Applied Scientist II in Seattle to design, develop, and deploy machine learning models for demand forecasting, inventory optimization, anomaly detection, and supply chain decision-making. You will build generative AI and agentic AI solutions to automate complex workflows and provide adaptive recommendations at scale.

You will lead end-to-end applied science projects from ideation through offline evaluation, A/B testing, and production deployment, collaborating with