Applied Scientist II Grocery Forecasting and Planning
Applied Scientist II Grocery Forecasting and Planning
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Are you excited about customerfacing research and reinventing the way people think about longheld assumptions At Amazon we are constantly inventing and reinventing to be the most customercentric company in the world. To get there we need exceptionally talented bright and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.
Our organization leads the innovation of Amazons ultrafast grocery forecasting and planning initiatives. We are creating a cuttingedge forecasting platform to keep our customers delighted and our business healthy. We forecast consumer demand labor and transportation revenue and more across all levels of a complex and interconnected network. To succeed we need technical leaders to forge a path into the future by building innovative maintainable and scalable systems.
The ideal candidate will be responsible for quantitative data analysis designing and building models and prototypes and developing stateoftheart optimization algorithms at scale. This team plays a significant role in various stages of the innovation pipeline from identifying business needs developing new models prototyping/simulation to implementation by working closely with colleagues in engineering product management operations retail and finance.
As a member of the research team you will play an integral part on our Forecasting and Planning team with the following responsibilities:
Interact with engineering operations science and business teams to develop an understanding and domain knowledge of processes system structures and business requirements
Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization
Develop scalable forecasting models to best predict trends in existing and new areas of our network
Create prototypes and performance test devised solutions
Advocate technical solutions to business stakeholders engineering teams as well as executivelevel decision makers
Work closely with engineers to integrate prototypes into production system
Create policy evaluation methods to track the actual performance of devised solutions in production systems identify areas with potential for improvement and work with internal teams to improve the solution with new features
Present business cases and document models analyses and their results in order to influence important decisions
3 years of building machine learning models for business application experience
Timeseries forecasting experience
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.
Our organization leads the innovation of Amazons ultrafast grocery forecasting and planning initiatives. We are creating a cuttingedge forecasting platform to keep our customers delighted and our business healthy. We forecast consumer demand labor and transportation revenue and more across all levels of a complex and interconnected network. To succeed we need technical leaders to forge a path into the future by building innovative maintainable and scalable systems.
The ideal candidate will be responsible for quantitative data analysis designing and building models and prototypes and developing stateoftheart optimization algorithms at scale. This team plays a significant role in various stages of the innovation pipeline from identifying business needs developing new models prototyping/simulation to implementation by working closely with colleagues in engineering product management operations retail and finance.
As a member of the research team you will play an integral part on our Forecasting and Planning team with the following responsibilities:
Interact with engineering operations science and business teams to develop an understanding and domain knowledge of processes system structures and business requirements
Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization
Develop scalable forecasting models to best predict trends in existing and new areas of our network
Create prototypes and performance test devised solutions
Advocate technical solutions to business stakeholders engineering teams as well as executivelevel decision makers
Work closely with engineers to integrate prototypes into production system
Create policy evaluation methods to track the actual performance of devised solutions in production systems identify areas with potential for improvement and work with internal teams to improve the solution with new features
Present business cases and document models analyses and their results in order to influence important decisions
3 years of building machine learning models for business application experience
Timeseries forecasting experience
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
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