Software Engineering Institute

Teaming Data Science and Causal Inference
 
The SEI Software Engineering Measurement and Analysis (SEMA) team has openings for the role of data scientist – causal inference that offer opportunity to use statistical, quantitative analysis, and problem-solving skills and to quickly learn new techniques. The SEI has job openings for three data scientists – causal learning, based on experience level.
 
In this episode, Shane McGraw interviews Robert Stoddard, SEMA team lead, about ways the data scientists – causal inference will join his group of technical professionals and researchers to make an impact on the U.S. Department of Defense (DoD) through data-driven decision solutions and radically improved research methodology. The team initiates, develops, and maintains customer relationships in a rapidly expanding portfolio of work.