Applied Scientist II, Demand Science

About the role

The Amazon Devices & Services Demand Science (DSci) team is seeking a scientist with strong AI/ML and communication skills to help with demand forecasting and supply optimization for the entire Amazon device family of products, services, and accessories.

Responsibilities

• Build forecasting models from prototype through production, working closely with engineering to deploy at scale
• Find and integrate new data sources to improve forecast accuracy and coverage
• Design and deliver production-ready solutions for business-critical forecasting and optimization problems
• Define and track performance metrics — both technical (error rates, bias, coverage) and business (plan attainment, financial impact, reduction in manual overrides)
• Write and maintain clear technical documentation; present findings and recommendations to scientists, engineers, and business leaders
• Set team standards for methodology, code quality, experimentation rigor, and AI-assisted workflows

Requirements

• 4+ 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
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience in building machine learning models for business application

Qualifications

• PhD in computer science, machine learning, engineering, or related fields
• Experience in any of the following areas: transformer model architectures (e.g., TFT, foundation models), neural network / deep learning model fine-tuning and development.

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.