Applied Scientist II, Demand Science

The Amazon Devices & Services Demand Science (DSci) team is seeking a scientist with strong and AI/ML and communication skills to help with demand forecasting and supply optimization for the entire Amazon device family of products services and accessories. Amazon Devices represents a highly complex space with 100 products across several product categories (e-readers Kindle tablets Fire Tablets TV Fire TV and remote smart speakers and audio assistants Echo wifi routers eero and video doorbells and cameras Ring and Blink) for sales both online and in offline retailers globally.

We develop scalable and robust state-of-the-art ML AI and automation solutions including transformer-based forecasting architectures large language model (LLM)-powered agents and agentic AI workflows that learn from diverse data sources and power advanced predictive models. With better forecasts we drive down supply chain costs enabling the offer of lower prices and better in-stock selection for our customers.

In this role you will own the full lifecycle from research through production deployment. You will drive end-to-end solutions: understanding business requirements exploring large-scale historical data and ML models building prototypes developing conceptually new approaches (including AI-native experimentation and agent-driven automation) and partnering with engineering teams to deploy and maintain solutions in production. You will collaborate closely with scientists engineering peers and business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services where AI is transforming how we forecast validate and optimize decisions.

You are an individual with strong science abilities excellent communication skills solid coding skills and comfort with modern AI tools and frameworks. You will be responsible for researching prototyping experimenting analyzing predictive models implementing production-ready solutions and developing AI-driven automation that progressively reduces manual intervention and enables hands-off-the-wheel science operations.

Key job 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

About the team
We are a focused science team looking for help with enhancing the demand forecasting framework were building and figuring out how to best solve the needs of both our internal stakeholders and cross-functional partners.

- 4 years of building models for business application experience
- PhD or Masters 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

- Experience using Unix/Linux
- 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.

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 142800.00 - 193200.00 USD annually