Offers “Amazon”

Expires soon Amazon

Research Scientist

  • Seattle (King)
  • IT development

Job description

DESCRIPTION

Amazon seeks motivated and innovative individuals with strong analytical skills and practical experience to join our Middle Mile Air and Ground Optimization team. We are hiring specialists at all levels for our scientific team with expertise in transportation and systems engineering, network and combinatorial optimization, stochastic optimization, algorithm design, machine learning and demand forecasting.
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 Modeling and Optimization 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, 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.

Desired profile

BASIC QUALIFICATIONS

Basic Qualifications
· 1 or more years of software development experience
· Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science or a related field.
· Strong knowledge in the following: theories of optimization including linear programming, mixed-integer programming and network modeling.
· Publications (or acceptance) in refereed academic journals and invited presentations at preeminent technical conferences in the field.
· Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.
· The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab).
· Experience prototyping and developing software in traditional programming languages (C++/ Java/ Python/Perl ).
· Statistical analysis, machine learning, and data-modeling in a database environment a plus.

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