NLP / Machine Learning

As an experienced NLP and Machine Learning professional, you will have the following responsibilities: - Utilize advanced models to predict profit and its different components. - Develop backend forecasting, optimization, and simulation engines. - Build monitors for model performance and make recommendations for adjustments to increase accuracy. - Evaluate and critique the assumptions of the models and refine approaches. - Perform high quality data analysis to uncover trends and patterns in both text and data. - Generate ideas and new solutions that result in the creation of intellectual property. - Develop classification and clustering algorithms for large datasets using a variety of languages and tools (e.g. Java, Hive, Python, C++, R/Matlab, etc.). - Build and maintain robust and accurate predictions of profit and vendors. - Create, enhance, and maintain documentation for data, modeling choices, rationale and results. - Contribute to building the internal knowledge base on best practices in data/text mining and machine learning. - Identify areas for continuous improvement and research. Basic Qualifications required for this role: - Masters Degree in CS, machine learning, Engineering, Statistics, Operations research, or in a quantitative field. - 2+ years of experience working in an analytics role developing and implementing machine learning algorithms. - Proficiency in several techniques including but not limited to: clustering, graphical models, Bayesian nonparametrics, Gaussian processes, SVM, random forests and boosting/bagging. - Competence in model-building/model-validation Proven ability to structure and analyze large data sets.,