Responsibilities: Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantageConducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classificationManages all aspects of end-to-end data processing utilizing customized report building functions of systemsMaintains analytical systems, verifies the accuracy of the data, and acts as liaison with businessImplementing emerging AI/ML solutions from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasksEvaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual dataPreparing and cleaning training and evaluation data sets for use with neural networksTraining deep neural networks including MLPs, CNNs, Transformers, and others as requiredWorking with existing modeling and simulation (M&S) tools to develop data for new AI/ML models. Preferred Qualifications: Hands-on experience with PyTorch and related Python librariesExperience with unsupervised learning including clustering algorithms and manifold learningStrong writing and presentation skills are preferred.