Principal Applied Scientist Amazon Fulfillment Tech - Science
Principal Applied Scientist Amazon Fulfillment Tech - Science
Posted on :
23-04-2025
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1 Vacancy
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Job Description
Amazon Fulfillment Technologies (AFT) Science seeks an exceptional Principal Applied Scientist to drive advanced scientific solutions for our FCs Inbound Operations. The ideal candidate will possess advanced expertise in Operations Research Machine Learning (ML) and Statistics backed by a proven track record of implementing scalable business solutions. In this role you will identify system improvement opportunities lead the redesign of endtoend stow operations by innovating Optimization and ML models and develop scalable solutions that enhance business metrics and customer experience. You will partner with Technical Operations and Business leadership teams to drive significant improvements in associate and customer experiences as well as cost effectiveness. This position requires both technical excellence and strategic leadership to transform our Inbound operations including inventory receiving and stowing processes. Success in this role demands strong analytical skills and the ability to translate complex problems into practical solutions in ambiguous environments.
Key job responsibilities
As a Principal Applied Scientist you will lead highly visible and largescale technical initiatives that directly impact Amazons Fulfillment operations driving billions in annual revenue. You will design and develop Machine Learning (ML) and Optimization models using historical operations data transform business requirements into innovative technical solutions and build functional prototypes to implement new conceptual approaches. You will deploy solutions at scale while leading collaborations between scientists engineers and business stakeholders. In this role youll mentor team members and contribute to Amazons scientific community combining technical leadership with handson development to solve complex operational challenges within Amazons global fulfillment network.
A day in the life
As a candidate you must demonstrate proven analytical skills and crossfunctional team experience. You will research prototype and analyze scientific solutions while developing automated solutions based on datadriven insights. You will strive for simplicity demonstrate judgment backed by mathematical rigor as you continually seek opportunities to innovate build and deliver. You should thrive in a fastpaced environment adapt quickly to changing priorities and collaborate effectively across teams. This role requires both technical expertise and entrepreneurial initiative.
About the team
AFT (Amazon Fulfillment Technology) Science Team creates science driven solutions to power the production systems running at Amazons global Fulfillment Centers. Our solutions address critical operations such as labor planning demand forecasting inventory receive and stow pick scheduling and workflow control. We deliver solutions that run at frequencies from minutes to hours across Amazons network. Our team combines Machine Learning Statistics Economics and Operations Research to innovate solutions beyond the published state of the art. Our approach emphasizes datadriven decision making rapid prototyping and controlled experimentation. Each solution we build prioritizes network reliability and system scalability to serve Amazons growing global operations.
* Ph.D. in Operations Research Machine Learning Statistics Computer Science Applied Mathematics Operations Management Industrial Engineering Economics or a related field.
* 8 years of experience in solving complex problems in the area of Operations Research Statistics and Machine learning.
* Ability to perform quantitative economic and numerical analyses of largescale systems under uncertainty using statistical and optimization tools such as Python R and XPRESS to determine solution strategies for complex decisionmaking problems.
* Fluency in using mathematical optimization and machine learning including algorithm design continuous and discrete optimization stochastic analysis supervised and unsupervised machine learning methods and deep learning to develop solution methods to be used by inhouse decision support tools and software.
* Proficiency in development validation and implementation optimization or machine learning models for largescale applications.
* Proficiency in coding in at least one modern programming language such as Python Java or C.
* Excellent communication and collaboration skills that enable you to earn trust at all levels of a large organization; ability to influence
* 10 years of handson experience in developing innovative Machine Learning and/or Optimization models to solve complex realworld business problems.
* Significant peerreviewed scientific contributions in premier journals and conferences.
* Expert level skills across many Machine Learning and Operations Research methodologies.
* Experience in working with realworld data sets and building scalable models from big data.
* Ability to think strategically while staying on top of tactical .
* Possessing excellent business judgment; balancing business product and technology priorities.
* Being an independent thinker who can make convincing informationbased arguments.
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 $179000/year in our lowest geographic market up to $309400/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 a Principal Applied Scientist you will lead highly visible and largescale technical initiatives that directly impact Amazons Fulfillment operations driving billions in annual revenue. You will design and develop Machine Learning (ML) and Optimization models using historical operations data transform business requirements into innovative technical solutions and build functional prototypes to implement new conceptual approaches. You will deploy solutions at scale while leading collaborations between scientists engineers and business stakeholders. In this role youll mentor team members and contribute to Amazons scientific community combining technical leadership with handson development to solve complex operational challenges within Amazons global fulfillment network.
A day in the life
As a candidate you must demonstrate proven analytical skills and crossfunctional team experience. You will research prototype and analyze scientific solutions while developing automated solutions based on datadriven insights. You will strive for simplicity demonstrate judgment backed by mathematical rigor as you continually seek opportunities to innovate build and deliver. You should thrive in a fastpaced environment adapt quickly to changing priorities and collaborate effectively across teams. This role requires both technical expertise and entrepreneurial initiative.
About the team
AFT (Amazon Fulfillment Technology) Science Team creates science driven solutions to power the production systems running at Amazons global Fulfillment Centers. Our solutions address critical operations such as labor planning demand forecasting inventory receive and stow pick scheduling and workflow control. We deliver solutions that run at frequencies from minutes to hours across Amazons network. Our team combines Machine Learning Statistics Economics and Operations Research to innovate solutions beyond the published state of the art. Our approach emphasizes datadriven decision making rapid prototyping and controlled experimentation. Each solution we build prioritizes network reliability and system scalability to serve Amazons growing global operations.
* Ph.D. in Operations Research Machine Learning Statistics Computer Science Applied Mathematics Operations Management Industrial Engineering Economics or a related field.
* 8 years of experience in solving complex problems in the area of Operations Research Statistics and Machine learning.
* Ability to perform quantitative economic and numerical analyses of largescale systems under uncertainty using statistical and optimization tools such as Python R and XPRESS to determine solution strategies for complex decisionmaking problems.
* Fluency in using mathematical optimization and machine learning including algorithm design continuous and discrete optimization stochastic analysis supervised and unsupervised machine learning methods and deep learning to develop solution methods to be used by inhouse decision support tools and software.
* Proficiency in development validation and implementation optimization or machine learning models for largescale applications.
* Proficiency in coding in at least one modern programming language such as Python Java or C.
* Excellent communication and collaboration skills that enable you to earn trust at all levels of a large organization; ability to influence
* 10 years of handson experience in developing innovative Machine Learning and/or Optimization models to solve complex realworld business problems.
* Significant peerreviewed scientific contributions in premier journals and conferences.
* Expert level skills across many Machine Learning and Operations Research methodologies.
* Experience in working with realworld data sets and building scalable models from big data.
* Ability to think strategically while staying on top of tactical .
* Possessing excellent business judgment; balancing business product and technology priorities.
* Being an independent thinker who can make convincing informationbased arguments.
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 $179000/year in our lowest geographic market up to $309400/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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