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Senior Research Scientist, GDS-Modeling and Optimization

Job ID: 1779853 | Services LLC


Job summary
Amazon’s Modeling and Optimization team (MOP) is looking for a Research Scientist to analyze and optimize the most complex logistics systems in the world. Academic and/or practical background in Operations Research, Industrial Engineering, or System Engineering and Optimization are particularly relevant for this position. Experience in model-based engineering and/or multidisciplinary analysis & optimization is also a plus.

Amazon’s extensive logistics system comprises thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements truly unparalleled. This magnificent challenge is a terrific opportunity to analyze Amazon data and understand, model, simulate, optimize, and reshape one of the world's most complex systems.

Key job responsibilities
Your main focus will be on developing model-based optimization tools, at various levels of fidelity, for improving our transportation network under the uncertainty of demand and supply. You will make the real complexity of our logistics system visible, tangible, and manageable using cutting edge analytical methods. You will use modeling and simulation to validate assumptions on the intricate interactions among different elements of our system. You will identify and evaluate opportunities to improve customer experience, network speed, cost, and the efficiency of capital investment. You will develop system components using optimization, simulation, and machine learning techniques. You will quantify the improvements resulting from the application of these tools and you will evaluate trade-offs between competing outputs of the system.

This position requires drive and self-motivation, superior analytical thinking, data-driven disposition, application of technical knowledge to a business context, effective collaboration with fellow research scientists, software development engineers, and product managers, effective communication of technical designs to technical and non-technical audiences, and close partnership with many stakeholders from operations, finance, IT, and business leadership


• PhD degree in Operations Research, Industrial Engineering, System Engineering and Optimization, Applied Mathematics, Computer Science or related fields; and at least 4 years of relevant work experience
• Demonstrated ability to innovate and advance the science in Operations Research, Optimizations or related fields
• Demonstrated technical proficiency and leadership potential by leading or mentoring junior scientists
• Experience in designing, implementing, and testing analytic and/or algorithmic solutions to business or operational problems
• Exposure to scripting languages (Python, Ruby, etc.), SQL and Statistical tools, major object-oriented programming languages (java, C++, etc.), optimization software and libraries (XPRESS, CPLEX, etc.), and simulation software
• Excellent written and verbal communication skills with both technical and non-technical audiences


• A proven record of innovation and driving research in Operations Research, Optimizations or related fields in industry, government, or military
• Business experience in developing and deploying algorithmic solutions in related business sectors such as Transportation Network, Supply Chain, or Inventory Management
• Business experience in working with large data sets
• Proficiency with scripting languages (Python, Ruby, etc.), SQL and statistical tools, optimization software and libraries (XPRESS, CPLEX, etc.), and simulation software
• Proficiency with data visualization (e.g. Tableau, R, and etc.)
• Excellent interpersonal skills and a can-do never-give-up attitude

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit