Applied Scientist - Operations Research/Optimization, Devices Optimization Services

Are you interested in working with top talents in Optimization Operations Research and Supply Chain to help Amazon to efficiently match our Devices with worldwide customers We have challenging problems and need your innovative solutions to make tremendous financial impacts!

The Amazon Demand Science Optimization organization is looking for an Applied Scientist with background in Operations Research Optimization Supply Chain and/or Simulation to support science efforts to integrate across inventory management functionalities. Our team is responsible for science models (both deterministic and stochastic) that power worldwide inventory allocation for Amazon Devices business that includes Echo Kindle Fire Tablets Amazon TVs Amazon Fire TV sticks Ring and other smart home devices. We formulate and solve challenging largescale financiallybased optimization problems which ingest demand forecasts and produce optimal procurement production distribution and inventory management plans. In addition we also work closely with the demand forecasting material procurement production planning finance and logistics teams to cooptimize the inventory management and supply chain for Amazon Devices given operational constraints.

Key job responsibilities
The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and an ability to work in a fastpaced and everchanging environment and a desire to help shape the overall business.

Responsibilities include:
Design and develop advanced mathematical simulation and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of inventory management and distribution network flow supply chain optimization and demand planning
Apply mathematical optimization techniques (linear quadratic SOCP robust stochastic dynamic mixedinteger programming network flows nonlinear nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by inhouse decision support tools and software
Research prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment
Create enhance and maintain technical documentation and present to other Scientists Product and Engineering teams
Lead project plans from a scientific perspective by managing product features technical risks milestones and launch plans
Influence the organizations longterm roadmap and resourcing onboard new technologies onto Science teams toolbox mentor other Scientists

About the team
Amazon Science PhD or Masters degree and 4 years of CS CE ML or related field experience
3 years of building models for business application experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing

Expertise in optimization: linear nonlinear mixedinteger largescale network robust stochastic
Experience in building optimization models and implementing them on OR tools (e.g. CPLEX Gurobi XPRESS)
Expertise in validating and simulating math optimization model
Experience designing and supporting largescale optimization systems in a production environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.