Applied Scientist Modeling and Optimization Modeling and Optimization
Applied Scientist Modeling and Optimization Modeling and Optimization
Posted on :
14-04-2025
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1 Vacancy
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Job Description
Amazons Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations.
Key job responsibilities
Enhance global logistics network efficiency through datadriven optimization
Reduce variable costs by improving network design inventory placement process and operational planning and resource allocation
Optimize capital investment through strategic fixed asset deployment planning
Develop metrics to quantify business impact of implemented solutions
PhD in Operations Research Computer Science Mathematics or similar field; or Masters degree with 4 years relevant experience
Experience building machine learning models or algorithms for business applications
Proficiency with mathematical programming tools (CPLEX Gurobi XPRESS)
Strong coding skills in Java C and/or Python
Experience with data extraction and manipulation using Python SQL or similar tools
Excellent communication skills with both technical and nontechnical audiences
Applied research experience in corporate environments
Demonstrated business impact in optimization applications (scheduling routing facility location)
Experience developing largescale decision support tools using optimization technology
Knowledge of simulation modeling stochastic processes optimization under uncertainty forecasting time series analysis and machine learning techniques
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
Enhance global logistics network efficiency through datadriven optimization
Reduce variable costs by improving network design inventory placement process and operational planning and resource allocation
Optimize capital investment through strategic fixed asset deployment planning
Develop metrics to quantify business impact of implemented solutions
PhD in Operations Research Computer Science Mathematics or similar field; or Masters degree with 4 years relevant experience
Experience building machine learning models or algorithms for business applications
Proficiency with mathematical programming tools (CPLEX Gurobi XPRESS)
Strong coding skills in Java C and/or Python
Experience with data extraction and manipulation using Python SQL or similar tools
Excellent communication skills with both technical and nontechnical audiences
Applied research experience in corporate environments
Demonstrated business impact in optimization applications (scheduling routing facility location)
Experience developing largescale decision support tools using optimization technology
Knowledge of simulation modeling stochastic processes optimization under uncertainty forecasting time series analysis and machine learning techniques
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
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