Experience must involve 4 years in the following Statistical, Programming and Data management leadership; Functional and Empirical Data Analysis, including Exploratory Analysis, Forensic data analysis to detect test cheating in assessments etc.; Develop statistical outlier detection techniques; Oversee small group of machine learning researchers; Design, Develop and Test machine learning methods; Design classifiers for identifying intrinsic data patterns; Develop methods for fusing data, selecting features, and identifying analogous attributes which produce similar information for machine learning applications; Design and develop natural language algorithms Applications in scoring essays, topic modelling etc.; Data ScienceMachine Learning Project management; Cloud Computing Architectural experience; Programming for Statistical Analysis, Visualization and algorithm development; Machine Learning Research and Development; Execution of Customer Projects as individual Key contributor; and, Mathematical modelling of customer business problems. Experience must also include Design and Develop architecture and workflow of automated scoring systems a machine learning approach; and Proposal writing, authorships in patents, research publications and scholarly presentations; Connect with industry experts and technology experts to translate customers business needs into mathematical models; and Machine learning advisor to generate new customer business in data science area. 60 travel required.
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