Applied Scientist - Amazon Transportation Services

Job ID: 1539897 | Services LLC


Amazon Transportation Services is seeking an Applied Scientist to be part of a team solving complex transportation operations problems to reduce cost and improve performance. This is a blue-sky role that gives you a chance to bring optimization modeling, statistical modeling, simulation modeling, and machine learning advancements to data analytics for customer-facing solutions in complex transportation and supply chain settings.

You will work closely with product, research science, business/operations and technical leaders throughout ATS Linehaul, Sort Centers, Air, Amazon Delivery and Last Mile Technology and Supply Chain Optimization teams and will be responsible for building capabilities at the intersection of these groups to optimize the performance of the end to end transportation supply chain. This will include analyzing large amounts of business data, building end-to-end data pipelines, models and production code, and building the optimization, machine learning and/or simulation engine capabilities that will enable us to improve end to end Amazon transportation supply chain performance. The end to end component makes this a unique role as you will be developing an integrated vs siloed solution. This role has exposure to senior leadership as we communicate results and provide scientific guidance to the business. Your insights will also be key to influencing funding decisions in areas of investment that you identify as critical future product offerings.

The ideal candidate will have extensive experience in Science work (with a focus on optimization and/or simulation), business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.

Tasks/ Responsibilities:
· Partnership with the engineering and operations to drive modeling and design for complex business problems.
· Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.
· Contribute to the short and mid end to end Amazon Transportation wide planning studies and analysis.
· Lead complex transportation modeling analyses to aid management in making key business decisions and set new policies.


· Ph.D. in Modeling and Simulation, Machine Learning, Operations Research, Transportation Management, Operations Management, Industrial Engineering, Systems Engineering, Computer Science, Applied Mathematics, Statistics or a related field.
· Experience designing/implementing machine learning algorithms tailored to particular business needs and tested on large datasets.
· Detailed knowledge of optimization methods to solve linear and integer programming models.
· Experience designing simulation and optimization solution for large scale applications.
· Experience in writing scripts (Perl, Ruby) to manipulate data and developing software applications in programming languages such as C++, Java, and Python.
· The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab, Julia) is a plus.
· 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.
· 5+ yrs of relevant, broad research science experience after PhD degree.


· 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.
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