Amazon Research Scientist LMEA Science 

Japan 

328164012

Key job responsibilities
• Design and develop advanced mathematical, optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of routing planning, supply chain optimization, network optimization, economics, and control theory.
• Apply mathematical optimization and control techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming, decomposition methods, model predictive control) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.
• Research, prototype, simulate, and experiment with these models by using modeling languages such as Python or R; participate in the production level deployment.
• Create, enhance, and maintain technical documentation
• Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders.
• Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.
• Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists.Tokyo, 13, JPN

- PhD, or Master's degree and 4+ years of quantitative field research experience
- 3+ years of applying optimization and machine learning for solving real-world problems in industry
- Proficiency in C/C++, Java, or Python
- Proficiency with at least one optimization library (CPLEX, XPRESS or Gurubi) and at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn)

- Experience designing and supporting large-scale optimization systems in a production environment
- Experience with large data sets, big data and analytics
- Experience with a popular deep learning toolkit (TensorFlow, MXNet, PyTorch, Caffe etc)
- Specialization in transportation problems
- Outstanding written and verbal communication skills
- Excited about working in a diverse group and contributing to an inclusive culture
The salary information can be provided individually prior to the 1st interview
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