Inventory  Planning and Control (IPC) group at Amazon is looking for experienced  operations research scientists with expertise in stochastic optimization. These positions are in Seattle, WA. Please forward this to your current/past graduate students who might be interested. 
We are also looking for Principal  Operations Research Scientists (8-10 years of experience) and  experienced faculty members (with experience in inventory optimization,  supply chain management, simulation-optimization methods etc.) who might  be interested in spending their sabbatical with us or who might be  interested in full-time positions.
Thanks
 Deepak Bhatia
Senior Manager, IPC
Senior Manager, IPC
Job Description:
Inventory Planning and Control (IPC) is looking for experienced operations research scientists with expertise in stochastic optimization and its application in inventory optimization, supply chain management, vendor selection etc.
Candidate will be responsible for  developing solutions to better manage/optimize worldwide inventory,  while providing the best experience to our customers at the lowest  possible price. This position will focus on identifying opportunities to  improve existing business processes, analyzing these opportunities and  developing new strategies (and better models) to further improve the  existing inventory planning/optimization and vendor selection  processes/algorithms. The successful candidate will be a person who  enjoys and excels at diving into data to analyze root causes and  implement long term solutions – changes in business policy or processes,  updates to the models in our systems, creation of effective metrics and  functionality.  The goal is to improve the Amazon customer experience  through improved selection, product availability, and fulfillment  reliability while enhancing profitability. This high visibility role  requires partnering with retail, finance and operations teams to impact  our bottom-line.
Inventory  Planning and Control (IPC) owns Amazon’s global inventory planning  systems: we decide what, when, where, and how much we should buy to meet  Amazon’s business goals and to make our customers happy.   We do this  for millions of items, for hundreds of product lines worth billions of  dollars of inventory world-wide. Our systems are built entirely  in-house, and are on the cutting edge in automated large scale supply  chain planning and optimization systems. IPC fosters new game-changing  ideas, continuously improves, resulting in sophisticated, intelligent  and self-learning models. IPC is unique in that we’re simultaneously  developing the science of supply chain planning and solving some of the  toughest computational challenges at Amazon.  Unlike many companies who  buy existing off-the-shelf planning systems, IPC is responsible for  studying, designing, and building systems to suit Amazon’s needs.  Our  team members have an opportunity to be on the forefront of supply chain  thought leadership by working on some of the most difficult problems in  the industry with some of the best research scientists and software  developers in the business, shaping our roadmap to drive real impact on  Amazon’s long-term profitability. If you’re interested in getting closer to the “action,” IPC is the place for you.
Basic Qualifications:
PhD  degree in operations research, management science, statistics,  engineering, mathematics, or computer science and 4-5 years of related  work experience
    * Expertise in stochastic optimization
* Ability to develop system prototypes
* Experience with SQL and statistical tools (SAS, R, SPSS)
* Experience utilizing problem solving and analytical skills
* Ability to develop system prototypes
* Experience with SQL and statistical tools (SAS, R, SPSS)
* Experience utilizing problem solving and analytical skills
Preferred Qualifications:
    * Proficiency in one or more of programming languages JAVA, C++, * Expertise in one or more of the following: optimization, probability theory, queuing theory, game theory, simulation, decision analysis, stochastic models, system dynamics, forecasting and mathematical modeling.
* A good understanding of analysis of algorithms and computational complexity is desirable.
* Technical aptitude and familiarity with the design and use of complex logistics software systems
* Familiarity with inventory planning, supply chain management, capacity management (forecasting, planning, optimization, and logistics) gained through work experience or through graduate level education
* Project management experience desired for working on cross-functional projects
* Excellent written and verbal communication skills
Amazon is an equal opportunity employer
 
 
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