Applied Scientist II Amazon Fulfillment Technology AFT Science
Applied Scientist II Amazon Fulfillment Technology AFT Science
Posted on :
02-05-2025
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1 Vacancy
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Job Description
The Amazon Fulfillment Technologies (AFT) Science team is looking for an exceptional Applied Scientist with strong optimization machine learning and statistical skills to develop production solutions for one of the most complex systems in the world: Amazons Fulfillment Network. At AFT Science we design build and deploy optimization simulation and machine learning solutions to power the production systems running at world wide Amazon Fulfillment Centers. We solve a wide range of problems that are encountered in the network including labor planning and staffing demand prioritization pick assignment and scheduling and flow process optimization. We are tasked to develop innovative scalable and reliable sciencedriven solutions that are beyond the published state of art in order to run frequently (ranging from every few minutes to every few hours per use case) and continuously in our large scale network.
Key job responsibilities
As an Applied Scientist you will work with other scientists software engineers product managers and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
* Develop an understanding and domain knowledge of operational processes system architecture and functions and business requirements
* Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach
* Develop scalable mathematical models for production systems to derive optimal or nearoptimal solutions for existing and new challenges
* Create prototypes and simulations for agile experimentation of devised solutions
* Advocate technical solutions to business stakeholders engineering teams and senior leadership
* Partner with engineers to integrate prototypes into production systems
* Design experiment to test new or incremental solutions launched in production and build metrics to track performance
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
Amazon Fulfillment Technology (AFT) designs develops and operates the endtoend fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want when they want it.
The AFT Science team has expertise in operations research optimization statistics simulation and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies our teams therefore invest in multiple specialties as the needs of each focus area evolves.
PhD or Masters degree and 4 years of science technology engineering or related field experience
3 years of building models for business application experience
Experience programming in Java C Python or related language
Relevant industry or academic applied research experience in operations research optimization machine learning statistics or an equivalent field.
PhD with applied research experience and expertise in Operations Research Optimization Machine Learning Statistics or an equivalent field
Experience in building machine learning models and developing algorithms for business applications
Experience in large scale optimization and decomposition techniques planning and scheduling problems
Experience in developing and deploying code for production systems
Experience with exploratory data analysis and experimental design
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 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
As an Applied Scientist you will work with other scientists software engineers product managers and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
* Develop an understanding and domain knowledge of operational processes system architecture and functions and business requirements
* Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach
* Develop scalable mathematical models for production systems to derive optimal or nearoptimal solutions for existing and new challenges
* Create prototypes and simulations for agile experimentation of devised solutions
* Advocate technical solutions to business stakeholders engineering teams and senior leadership
* Partner with engineers to integrate prototypes into production systems
* Design experiment to test new or incremental solutions launched in production and build metrics to track performance
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
Amazon Fulfillment Technology (AFT) designs develops and operates the endtoend fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want when they want it.
The AFT Science team has expertise in operations research optimization statistics simulation and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies our teams therefore invest in multiple specialties as the needs of each focus area evolves.
PhD or Masters degree and 4 years of science technology engineering or related field experience
3 years of building models for business application experience
Experience programming in Java C Python or related language
Relevant industry or academic applied research experience in operations research optimization machine learning statistics or an equivalent field.
PhD with applied research experience and expertise in Operations Research Optimization Machine Learning Statistics or an equivalent field
Experience in building machine learning models and developing algorithms for business applications
Experience in large scale optimization and decomposition techniques planning and scheduling problems
Experience in developing and deploying code for production systems
Experience with exploratory data analysis and experimental design
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 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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