Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are ...
Read more about this company
Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings
Design and engineer algorithms using Cloud-based state-of-the art software development techniques
Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones
Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate
Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap
Lead complex analysis and clearly communicate results and recommendations to leadership
Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry
BASIC QUALIFICATIONS
Master's degree
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience in applied research
PREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Gmail
Yahoomail