• Support long-term federal client engagements projects in the DC Metro area • Apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results • Visualization - Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges