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AS
Amazon.com Services LLC
Applied Scientist, Long Term Planning & Forecasting
Career Insights for Research Scientist
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Based on Washington data
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What they do
A Research Scientist is responsible for designing, undertaking and analyzing information from controlled laboratory-based investigations, experiments and trials.
$161,478 / year median in Washington
Job Description
Applied Scientist, Long Term Planning & Forecasting Amazon.com Services LLC
- 3.5 Bellevue, WA Job Details Full-time $142,800
- $223,400 a year 3 hours ago Benefits AD&D insurance Health insurance Dental insurance Flexible spending account RSU Paid time off Adoption assistance Parental leave Employee assistance program Vision insurance 401(k) matching Qualifications Predictive modeling analysis Full Job Description
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 languagePREFERRED 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.
Benefits
- Paid Time Off (PTO)
- 401(k) Plans
- Mental Health
- Health and Wellness Programs