Applied Scientist, Long Term Planning & Forecasting
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Job Location:
Yearly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate to shape the future of Amazons long term success with GenAI and Reinforcement Learning (RL) techniques
We are looking for a strong applied scientist to join our mission to accelerate the Amazon flywheel and ensure Amazons long term success by leveraging GenAI and RL to develop forecasting optimization and analytics products to plan Amazons Topline Inventory and Fulfillment Capacity and Topology.
In this role you will develop our next-generation forecasting and planning products with GenAI and reinforcement learning. You will design and implement noval and sophisticated models an algorithms and create solutions for large-scale problems.
You will collaborate with applied scientists research scientists economists product managers and software engineers. We are seeking innovative thinkers who can balance theoretical excellence with practical implementation. Your ability to communicate complex technical concepts and drive data-driven decisions at massive scale will be crucial to your success.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for a strong applied scientist to join our mission to accelerate the Amazon flywheel and ensure Amazons long term success by leveraging GenAI and RL to develop forecasting optimization and analytics products to plan Amazons Topline Inventory and Fulfillment Capacity and Topology.
In this role you will develop our next-generation forecasting and planning products with GenAI and reinforcement learning. You will design and implement noval and sophisticated models an algorithms and create solutions for large-scale problems.
You will collaborate with applied scientists research scientists economists product managers and software engineers. We are seeking innovative thinkers who can balance theoretical excellence with practical implementation. Your ability to communicate complex technical concepts and drive data-driven decisions at massive scale will be crucial to your success.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
AmaZone Cafe it is a very cosy place, focus on healthy food, where you can delight with your friends and family and try the best Acai, the famous brazillian fruit.
