Senior Applied Scientist Last Mile Economics Team
Senior Applied Scientist Last Mile Economics Team
Posted on :
28-04-2025
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1 Vacancy
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Job Description
As it strives to be Earths most customercentric company Amazon has grown its Last Mile delivery network accelerating customer delivery times and providing innovation to customers. Amazons Last Mile programs deliver to homes businesses Amazon Lockers and even cars all over the world. This network is powered by thousands of small businesses and hundreds of thousands of drivers that leverage Amazons technology to deliver millions of smiles to customers each day.
The Last Mile Economics Team draws from a wide range of technical skillsets in economics statistics machine learning and operations research to develop innovative forecasting and optimization tools to help scale this exponentially growing logistics network. This role affords an opportunity to work on large complex and technically challenging problems while directly contributing to driving an improved experience for Amazon customers and our delivery partners.
We are looking for candidates with strong skills in Optimization (Mixed Integer Programming Dynamic Programming) as well as solid skills in Python coding and data collection and analysis. Some background in Machine Learning (Forecasting Reinforcement Learning) and Economics would be helpful too.
The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and a desire to help shape the overall business.
Key job responsibilities
Design and develop advanced mathematical optimization models apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of delivery planning supply chain optimization pricing incentives and capacity planning.
Apply mathematical optimization and control techniques (linear quadratic SOCP robust stochastic dynamic mixedinteger 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 inhouse decision support tools and software.
Research prototype simulate and experiment with these models by using modeling languages such as Python MATLAB Mosel 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 longterm roadmap and resourcing onboard new technologies onto Science teams toolbox mentor other Scientists.
PhD or equivalent Masters Degree plus 4 years of experience in Operations Research Industrial Engineering Control Engineering Computer Science or Optimization related field
Expertise in optimization: linear nonlinear mixedinteger largescale network robust stochastic decomposition methods
Expertise in building optimization models and implementing them on OR tools (e.g. XPRESS Gurobi CPLEX etc)
Expertise in validating and simulating math optimization models
Experience programming in Python or related language
Strong communication and documentation skills
Understanding of basic forecasting methods
Experience designing and supporting largescale optimization systems in a production environment
Experience with large data sets big data and analytics
Experience in forecasting machine learning control theory and economics is a plus
1 years of relevant development experience in ObjectOriented Design and Service Oriented Architecture
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 $150400/year in our lowest geographic market up to $260000/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.
The Last Mile Economics Team draws from a wide range of technical skillsets in economics statistics machine learning and operations research to develop innovative forecasting and optimization tools to help scale this exponentially growing logistics network. This role affords an opportunity to work on large complex and technically challenging problems while directly contributing to driving an improved experience for Amazon customers and our delivery partners.
We are looking for candidates with strong skills in Optimization (Mixed Integer Programming Dynamic Programming) as well as solid skills in Python coding and data collection and analysis. Some background in Machine Learning (Forecasting Reinforcement Learning) and Economics would be helpful too.
The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and a desire to help shape the overall business.
Key job responsibilities
Design and develop advanced mathematical optimization models apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of delivery planning supply chain optimization pricing incentives and capacity planning.
Apply mathematical optimization and control techniques (linear quadratic SOCP robust stochastic dynamic mixedinteger 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 inhouse decision support tools and software.
Research prototype simulate and experiment with these models by using modeling languages such as Python MATLAB Mosel 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 longterm roadmap and resourcing onboard new technologies onto Science teams toolbox mentor other Scientists.
PhD or equivalent Masters Degree plus 4 years of experience in Operations Research Industrial Engineering Control Engineering Computer Science or Optimization related field
Expertise in optimization: linear nonlinear mixedinteger largescale network robust stochastic decomposition methods
Expertise in building optimization models and implementing them on OR tools (e.g. XPRESS Gurobi CPLEX etc)
Expertise in validating and simulating math optimization models
Experience programming in Python or related language
Strong communication and documentation skills
Understanding of basic forecasting methods
Experience designing and supporting largescale optimization systems in a production environment
Experience with large data sets big data and analytics
Experience in forecasting machine learning control theory and economics is a plus
1 years of relevant development experience in ObjectOriented Design and Service Oriented Architecture
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 $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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