Applied Scientist Demand Forecasting SCOT
Applied Scientist Demand Forecasting SCOT
Posted on :
15-03-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Are you looking for an environment where you can drive innovation apply stateoftheart machine learning techniques and tackle realworld problems at massive scale Do you want to shape the future of Amazons Retail business by designing and deploying deep learning models for time series forecasting If so join the Amazon Demand Forecasting Science team! As part of this dynamic team you will create and implement novel neural network architectures to develop the next generation of foundation time series models directly influencing how Amazon operates at a global scale.
Key job responsibilities
Design new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current stateoftheart.
Work crossfunctionally with product managers software engineers and scientists to build endtoend solutions that are deployed at scale in Amazons production systems.
Engage with the broader scientific community at Amazon and beyond collaborate with academic researchers contribute to publications and present your work at leading conferences (e.g. NeurIPS).
A day in the life
You will deep dive into massive Amazon time series datasets leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline writing Python code to train evaluate and debug the latest deep learning models. You will design novel neural network architectures brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark opensource solutions identifying opportunities to enhance Amazons forecasting capabilities. You will document your discoveries and prepare them for internal knowledgesharing sessions or external conferences ensuring that your innovations help shape the future of demand forecasting both within Amazon and the broader research community.
About the team
We are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs drives lower prices and improves selection for customers all while leveraging unprecedented volumes of data that only Amazon can offer.
2 years of deep learning computer vision human robotic interaction algorithms implementation experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming or scripting language like Python Java C or C
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 job responsibilities
Design new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current stateoftheart.
Work crossfunctionally with product managers software engineers and scientists to build endtoend solutions that are deployed at scale in Amazons production systems.
Engage with the broader scientific community at Amazon and beyond collaborate with academic researchers contribute to publications and present your work at leading conferences (e.g. NeurIPS).
A day in the life
You will deep dive into massive Amazon time series datasets leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline writing Python code to train evaluate and debug the latest deep learning models. You will design novel neural network architectures brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark opensource solutions identifying opportunities to enhance Amazons forecasting capabilities. You will document your discoveries and prepare them for internal knowledgesharing sessions or external conferences ensuring that your innovations help shape the future of demand forecasting both within Amazon and the broader research community.
About the team
We are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs drives lower prices and improves selection for customers all while leveraging unprecedented volumes of data that only Amazon can offer.
2 years of deep learning computer vision human robotic interaction algorithms implementation experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming or scripting language like Python Java C or C
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
