Amazon Corporate LLC Data Scientist - Operations Research in Seattle, Washington

Data Scientist - Operations Research Location: US-WA-Seattle Job ID: 643084 Company: : Services, Inc. Position Category: Research Science Job DescriptionAmazon Devices Demand Planning team is looking for an Data Scientist with a background in Operations Research and Management Sciences. We develop sophisticated algorithms that involve learning from large amounts of past data, such as actual sales, prices, promotions, similar products and product's attributes in order to forecast the demand for all Amazon devices and to use these forecasts to determine if we should green-light products, the level of investment in capital expenditures, ordering material, managing inventory and determining financial performance. We also work closely with Supply Chain and Logistics teams to optimize our inventory allocation in our worldwide channels given operational constraints. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment and a desire to help share the overall business. You will have an opportunity to work on large mathematical problems, with large elements of unpredictability. You will write and solve linear and mixed-integer problems to find optimal solutions to build decisions given capacity constraints and the demand distributions. You will also drive process changes that comes with automation and smarter optimization. You are an individual with outstanding analytical abilities, communication skills, and are comfortable working with technical teams and systems. You will be responsible for researching, experimenting, and analyzing forecasting strategies and mathematical models. You will also be prototyping the implementations. Key responsibilities: Design and develop complex mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of inventory management, network flow, supply chain optimization, demand planning. Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, dynamic programming, network flows and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software. Prototype these models by using modeling languages such as R, MATLAB, Mosel or in software languages such as Python. Create, enhance, and maintain technical documentation, and present to other Scientists. Research and propose use of new technologies In order to perform the above responsibilities well, you also need to Gather data required for analysis and mathematical model building by writing ad-hoc scripts and database queries Interact with software and business teams across the Devices organization to develop an understanding of their business requirements and operational processes. Basic Qualifications MS in Operations Research, Industrial Engineering, Management Science or a related field with 3+ years of industry experience Strong background in building mathematical models and prototyping Strong background in stochastic and deterministic optimization techniques and simulation Track record of building end to end modeling processes and workflows A working knowledge of linear and non-linear optimization methods accompanied by expertise in the use of OR tools (e.g. CPLEX, Gurobi, XPRESS). Practical experience in implementing optimization models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, MATLAB). Fluency in a high-level modeling language such as R, SAS, MATLAB or other statistical software, knowledge of relational databases (SQL) Expert in one or pro