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Senior Research Scientist, Freight Marketplace Science

Job ID: 2196208 | Services LLC


Job summary
Amazon’s Middle Mile Planning Research and Optimization Science group (mmPROS) is looking for a Senior Research Scientist specializing in design and evaluation of algorithms for revenue management, capacity planning, and marketplace optimization applied to large-scale transportation planning systems. This includes the development and implementation of pricing & yield management (PYM) solutions using stochastic concepts to improve transportation planning solutions.

Middle Mile Air and Ground transportation represents one of the fastest growing logistics areas within Amazon. Amazon Fulfillment Services transports millions of packages via air and ground and continues to grow year over year. The scale of this operation challenges Amazon to design, build and operate robust transportation networks that minimize the overall operational cost while meeting all customer deadlines. The Middle Mile Planning Research and Optimization Science group is charged with developing an evolving suite of decision support and optimization tools to facilitate the design of efficient air and ground transport networks, optimize the flow of packages within the network to efficiently align network capacity and shipment demand, set prices, and effectively utilize scarce resources, such as aircraft and trucks. Time horizons for these tools vary from years and months for long-term planning to hours and minutes for near-term operational decision making and disruption recovery. These tools rely heavily on mathematical optimization, stochastic simulation, meta-heuristic and machine learning techniques. In addition, Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.

As a Senior Research Scientist responsible for middle mile transportation, you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will design and implement data-driven analyses to evaluate the performance of your models, and to evaluate alternative business strategies. You will have exposure to top level leadership to present findings of your research. You should also be able to work closely with other research and data scientists and also engineers to implement your models within our production system. 


  • Ph.D. in Operations Research, Industrial Engineering, Computer Science, Systems Engineering, Applied Mathematics, Statistics or a related field, and 4+ years of relevant work experience.
  • Detailed knowledge of methods to solve linear and integer programming models.
  • Experience designing simulation and solutions for large scale applications.
  • The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab, Julia).
  • Experience in writing scripts to manipulate data and developing software applications in programming languages such as C++, Java, and Python.
  • Excellent communication skills with both technical and non-technical audiences
  • Strong problem-solving ability and the ability to work in ambiguous and constantly evolving environment.
  • Ability to work independently and as part of a diverse team.


  • Knowledge and experience with pricing strategies or price optimization techniques.
  • Experience designing/implementing machine learning algorithms tailored to particular business needs and tested on large datasets.
  • Experience in data mining and using databases in a business environment with large-scale, complex datasets.
  • Strong personal interest in learning, researching, and creating new technologies with high customer impact.

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. For individuals with disabilities who would like to request an accommodation, please visit