Applied Scientist

• Ph.D. in Industrial Engineering, Operations Research, Systems Engineering, Computer Science, Applied Mathematics, or a related field.
• 5+ years of relevant, broad research science experience after PhD degree or equivalent.
• Detailed knowledge of applied optimization methods.
• Demonstrable work experience on optimization models that have been deployed into production systems (strategic, planning, and/or operational).
• Experience in writing scripts (Python) and/or software applications in programming languages such as C++, Java.
• 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.
• Strong personal interest in developing, researching, and creating new technologies with high customer impact.
• Ability to work independently and as part of a diverse team.

We are seeking an Applied Scientist to join our transportation planning and optimization team. As an Applied Scientist, you’ll be accountable for designing, modeling, developing and implementing state-of-the-art models and solutions used by Amazon transportation worldwide. You will collaborate with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. As part of your role, you will regularly interact with software engineering teams and business leadership. The focus of this role is to research, develop, and deploy models that will inform and support our business, primarily in the areas of freight transportation and vehicle routing. You will have the opportunity to work with some of the leading scientists in the areas of optimization algorithms, meta-heuristics, market analysis, and integer programming. Key job responsibilities • Develop accurate and scalable optimization, mathematical programming, and heuristic methods to solve our hardest transportation problems. • Lead and partner with the engineering and operations teams to drive modeling and technical design for complex business problems in transportation. • Lead complex modeling analyses to aid management in making key business decisions and set new policies.