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发帖数: 76 | 1 The WW Inventory Planning and Control (IPC) group is looking for a
passionate, talented and inventive Sr. Operations Research Scientist who is
comfortable communicating to senior leaders.
As a member of the IPC team you will be responsible for coming up with
creative strategies to optimize Amazon’s inventory in order to achieve the
best experience for our customers at the lowest price. This position will
focus on identifying and analyzing opportunities to improve business
processes and come up with strategies to automate capacity management. 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 WW Retail, Finance and Operations teams to
improve our bottom-line.
Basic Qualifications
Graduate degree or PHD in operations research, statistics, engineering,
mathematics, or computer science and 5 years of related work experience
Ability to develop system prototypes
Experience with SQL and Statistical tools
Experience utilizing problem solving and analytical skills
Preferred Qualifications
Technical aptitude and familiarity with the design and use of complex
logistics software systems
Project management experience desired for working on cross-functional
projects
Familiarity with inventory planning concepts - forecasting, planning,
optimization, and logistics - gained through work experience or graduate
level education
Excellent written and verbal communication skills
Proficiency in one or more of programming languages JAVA, C++, 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 analysis of algorithms and computational complexity is
desirable.
If interested, please contact Mark Ah Chuen at c*******[email protected]. |
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