Responsibilities include: - Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of inventory management and distribution, network flow, supply chain optimization, and demand planning - Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software - Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment - Create, enhance, and maintain technical documentation, and present to other Scientists, Product, and Engineering teams - Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans - Influence the organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists About the team Amazon Science https://www.linkedin.com/showcase/amazonscience/posts/?feedView=all Basic Qualifications - PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience in optimization mathematics such as linear programming and nonlinear optimization - PhD in math/statistics/engineering or other equivalent quantitative discipline, or a Associate's degree or above and experience applying optimization models in for business decision support or in optimized supervisory control - Experience in technical support, or experience with training and deploying machine learning systems to solve large-scale optimizations - Experience developing, deploying and managing AI products at scale - Experience in building optimization models and implementing them on OR tools (e.g.