Computational Data Scientist

Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning, probabilistic graph models, or neural networks. Work with a multidisciplinary team of experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency. Apply learning algorithms on high-dimensional, complex, and streaming data sets with limited labels for smart decision making. Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured data. Interface with data scientists in academic, industrial, and government labs to identify and transition cutting edge tools for use at ARL. Prepare presentations and written documents summarizing efforts in Government format.