Amazon

Amazon is looking for a Research Scientist in Seattle, WA. According to the post, “Be at the center of Amazon innovation with Amazon Local! This daily deals marketplace offers customers discounts of up to 75% off desirable goods and services in their communities — over 100 regions throughout the United States. This rapidly-growing business within Amazon offers a creative, fast-paced, entrepreneurial work environment. We are looking for a practitioner in the Analytics field to a join a team of other research scientists who use data science/machine learning to build prediction and recommender systems that power the applications and business decisions for Amazon Local. The qualified candidate will call upon various supervised and unsupervised methods in order to: (1) analyze large datasets to identify attributes that directly influence deal quality, (2) understand customer preferences to generate predictions across various segments, and (3) build algorithms to automate predictive learning and drive real-time optimal recommendations.”

 

Qualifications for the position include: “Proficiency in several techniques including but not limited to: Decision Trees, GLM, Clustering, Bayesian methods, SVM, linear/non-linear programming, Multi-level models, Random Forests, Choice Models, etc. Competence in model-building/model-validation/scaling solutions in a production setting. Proven ability to structure and analyze millions of rows of data. Established expertise in exploratory data analyses. Comfortable mining unstructured data.  PH.D in Machine Learning, Statistics, Operations Research, Data Science, Data Mining or equivalent. Accounts for theoretical properties and assumptions of models when applying in practice. Proficient in proto-typing models using scripting languages (e.g. Python, Ruby, etc.). 1+ year experience working in Java/C++ or other low level language.”

 

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