Research Scientist GES NA Operations Engineering
Research Scientist GES NA Operations Engineering
Posted on :
01-05-2025
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1 Vacancy
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Job Description
Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime to the use of advanced technology for package delivery Amazon consistently drives change from the front of the pack.
Amazon is seeking a detail oriented Research Scientist to focus on simulation to assist with process improvement and facility design initiatives in our North American fulfillment network. Successful candidates will be natural selfstarters who have the drive to design model and simulate new fulfillment center conception and design processes.
The Research Scientist will be expected to deep dive problems and drive relentlessly towards creative solutions. This individual needs to be comfortable interfacing and driving various functional teams and individuals at all levels of the organization in order to be successful. Perform data modelling using different discrete event simulation softwares and use optimization techniques research aptitude and data analysis such as statistical analysis regression analysis Design of Experiments (DOE) etc. to drive decisions on process and designs.
This role requires a strong passion for customers a high level of comfort navigating ambiguity and a keen sense of ownership and drive to deliver results. The ideal candidate will have experience in Science work business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets. You should have demonstrated ability to think strategically and analytically about business product and technical challenges.
You must be responsive flexible and able to succeed within an open collaborative environment. Amazons culture encourages innovation and expects to take a highlevel of ownership in solving complex problems.
Come help us make history!
Key job responsibilities
Design develop and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the North America fulfillment network
Retrieve synthesize and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
Analyze historical data to identify trends and support decision making.
Provide requirements to develop analytic capabilities platforms and pipelines.
Design size and analyze field experiments at scale.
Build decisionmaking models and propose solution for the business problem you defined. This may include delivery of algorithms to be used in production systems.
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
Utilize code (python or another object oriented language) for data analyzing and modeling algorithm
Develop document and update simulation standards including standard results reports
Create basic to highly advanced models and run whatif scenarios to help drive to optimal solutions
Analyze historical data to identify trends and support decision making.
Apply statistical or machine learning knowledge to specific business problems and data.
Improve upon existing methodologies by developing new data sources testing model enhancements and finetuning model parameters.
Provide requirements to develop analytic capabilities platforms and pipeline
InOffice 5 Days per week (RTO)
Ability to travel up to 10
A day in the life
Amazon Benefits:
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) PlanIf 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 skill sets. If youre passionate about this role and want to make an impact on a global scale please apply!
Masters degree in a highly quantitative field (Industrial Engineering Operations Research Machine Learning Applied Mathematics Statistics) or equivalent experience.
2 years of experience developing quantitative models to solve complex problems.
Expertise in at least one of the following areas: Discrete Event Simulation Linear Programming Natural Language Processing and Computer Vision.
2 years strong coding skills in C Python or any other scripting languages
Experienced in handling large data sets using SQL/Python in a business environment.
PhD/Masters degree in Statistics Industrial Engineering/Operations Research Mathematics or Statistics or related quantitative field with 5 years of work experience.
Experienced in writing academicstyled papers for presenting both the methodologies used and results for data science projects.
Hypothesis testing (including statistical hypothesis testing) and experimental design.
Experience with unstructured textual data
Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists engineering teams and business audiences
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 $212800/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.
Amazon is seeking a detail oriented Research Scientist to focus on simulation to assist with process improvement and facility design initiatives in our North American fulfillment network. Successful candidates will be natural selfstarters who have the drive to design model and simulate new fulfillment center conception and design processes.
The Research Scientist will be expected to deep dive problems and drive relentlessly towards creative solutions. This individual needs to be comfortable interfacing and driving various functional teams and individuals at all levels of the organization in order to be successful. Perform data modelling using different discrete event simulation softwares and use optimization techniques research aptitude and data analysis such as statistical analysis regression analysis Design of Experiments (DOE) etc. to drive decisions on process and designs.
This role requires a strong passion for customers a high level of comfort navigating ambiguity and a keen sense of ownership and drive to deliver results. The ideal candidate will have experience in Science work business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets. You should have demonstrated ability to think strategically and analytically about business product and technical challenges.
You must be responsive flexible and able to succeed within an open collaborative environment. Amazons culture encourages innovation and expects to take a highlevel of ownership in solving complex problems.
Come help us make history!
Key job responsibilities
Design develop and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the North America fulfillment network
Retrieve synthesize and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
Analyze historical data to identify trends and support decision making.
Provide requirements to develop analytic capabilities platforms and pipelines.
Design size and analyze field experiments at scale.
Build decisionmaking models and propose solution for the business problem you defined. This may include delivery of algorithms to be used in production systems.
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
Utilize code (python or another object oriented language) for data analyzing and modeling algorithm
Develop document and update simulation standards including standard results reports
Create basic to highly advanced models and run whatif scenarios to help drive to optimal solutions
Analyze historical data to identify trends and support decision making.
Apply statistical or machine learning knowledge to specific business problems and data.
Improve upon existing methodologies by developing new data sources testing model enhancements and finetuning model parameters.
Provide requirements to develop analytic capabilities platforms and pipeline
InOffice 5 Days per week (RTO)
Ability to travel up to 10
A day in the life
Amazon Benefits:
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) PlanIf 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 skill sets. If youre passionate about this role and want to make an impact on a global scale please apply!
Masters degree in a highly quantitative field (Industrial Engineering Operations Research Machine Learning Applied Mathematics Statistics) or equivalent experience.
2 years of experience developing quantitative models to solve complex problems.
Expertise in at least one of the following areas: Discrete Event Simulation Linear Programming Natural Language Processing and Computer Vision.
2 years strong coding skills in C Python or any other scripting languages
Experienced in handling large data sets using SQL/Python in a business environment.
PhD/Masters degree in Statistics Industrial Engineering/Operations Research Mathematics or Statistics or related quantitative field with 5 years of work experience.
Experienced in writing academicstyled papers for presenting both the methodologies used and results for data science projects.
Hypothesis testing (including statistical hypothesis testing) and experimental design.
Experience with unstructured textual data
Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists engineering teams and business audiences
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 $212800/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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