Applied Scientist, Last Mile Planning
Applied Scientist, Last Mile Planning
Posted on :
19-06-2025
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1 Vacancy
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Job Description
As part of Amazon Last Mile Science & Technology organization youll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to innovate in topology routing planning routing inputs capacity planning and dispatch solutions for different last mile programs leveraging the latest OR computer vision ML and deep learning techniques. The team is actively looking to hire research scientist or applied scientist to lead the area. Successful candidates will have a deep knowledge of Operations Research and Machine Learning methods for large scale problems the ability to map models into production-worthy code the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers and the excitement to take iterative approaches to tackle big long-term problems.
We are looking for candidates with strong skills in Optimization modeling (Mixed Integer Programming Dynamic Programming Decomposition Methods) as well as solid skills in Python coding and data collection and analysis. Some background in Control Theory Machine Learning and Economics would be helpful too.
The successful candidate will be a self-starter comfortable with ambiguity with strong attention to detail an ability to work in a fast-paced and ever-changing environment and a desire to help shape the overall business.
Key job responsibilities
Design and develop advanced mathematical optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of routing planning supply chain optimization network optimization economics and control theory.
Apply mathematical optimization and control techniques (linear quadratic SOCP robust stochastic dynamic mixed-integer programming network flows nonlinear nonconvex programming decomposition methods model predictive control) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.
Research prototype simulate and experiment with these models by using modeling languages such as Python or R; participate in the production level deployment.
Create enhance and maintain technical documentation
Present to other Scientists Product and Software Engineering teams as well as Stakeholders.
Lead project plans from a scientific perspective by managing product features technical risks milestones and launch plans.
Influence organizations long-term roadmap and resourcing onboard new technologies onto Science teams toolbox mentor other Scientists.
- 1 years of programming in Java C Python or related language experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
We are looking for candidates with strong skills in Optimization modeling (Mixed Integer Programming Dynamic Programming Decomposition Methods) as well as solid skills in Python coding and data collection and analysis. Some background in Control Theory Machine Learning and Economics would be helpful too.
The successful candidate will be a self-starter comfortable with ambiguity with strong attention to detail an ability to work in a fast-paced and ever-changing environment and a desire to help shape the overall business.
Key job responsibilities
Design and develop advanced mathematical optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of routing planning supply chain optimization network optimization economics and control theory.
Apply mathematical optimization and control techniques (linear quadratic SOCP robust stochastic dynamic mixed-integer programming network flows nonlinear nonconvex programming decomposition methods model predictive control) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.
Research prototype simulate and experiment with these models by using modeling languages such as Python or R; participate in the production level deployment.
Create enhance and maintain technical documentation
Present to other Scientists Product and Software Engineering teams as well as Stakeholders.
Lead project plans from a scientific perspective by managing product features technical risks milestones and launch plans.
Influence organizations long-term roadmap and resourcing onboard new technologies onto Science teams toolbox mentor other Scientists.
- 1 years of programming in Java C Python or related language experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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