Applied Scientist, Long Term Planning & Forecasting

Socket.dev; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon in Bellevue, WA is seeking an Applied Scientist to join Long-Term Planning and Forecasting within SCOT. You will help shape forecasting, planning, and analytics products powered by GenAI and reinforcement learning to support Amazon's long-term growth.

You will develop next-generation models, design novel scientific solutions for large-scale problems, and collaborate with cross-functional teams including scientists, economists, PMs, and software engineers to bring research into scalable

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's degree and 4+ years in CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Develop forecasting, planning and insight generation products powered by GenAI and RL.
• Design and implement novel, sophisticated scientific solutions to large-scale problems to shape long-term planning.
• Collaborate with applied scientists, researchers, economists, product managers and software engineers to translate research into scalable systems.

Skills

Model building for business apps

Programming in Java/C++/Python

Cross-functional collaboration

Education

PhD or MS with 4+ years CS/CE/ML

Job description

Are you passionate about shaping the future of Amazon's long-term success with Generative AI and Reinforcement Learning (RL)?

We are looking for a strong Applied Scientist to join Long-Term Planning and Forecasting (LTPF) within Supply Chain Optimization Technologies (SCOT). Our mission is to accelerate the Amazon flywheel and ensure Amazon's long-term success by leveraging GenAI and RL to build the forecasting, optimization, and analytics products that plan Amazon's Topline, Inventory, and Fulfillment Capacity and Topology.

In this role, you will develop our next-generation forecasting, planning and insight generation products powered by GenAI and reinforcement learning. You will design and implement novel, sophisticated scientific solutions to large-scale problems that directly shape how Amazon plans for the years ahead.

You will collaborate closely with applied scientists, research scientists, economists, product managers, and software engineers. We are seeking innovative thinkers who can balance theoretical rigor with practical implementation. Your ability to communicate complex technical concepts and drive data-driven decisions at massive scale will be crucial to your success.

Basic 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

Preferred Qualifications

• Experience developing, deploying and managing AI products at scale
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Familiarity with evaluating and continuously improving GenAI/agentic systems in production

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 https://amazon.jobs/en/benefits.

USA, NY, New York - 172,400.00 - 223,400.00 USD annually

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually