Jason Nance

Data Scientist


  • BS, Mathematics and Computer Science, University of Alabama

Jason Nance is an early-career data scientist in RTI’s Center for Data Science with diverse experience across the full stack of data science, from client management and data analysis to implementation, deployment and maintenance. He has worked on analyses and applications in domains ranging from criminal justice to transportation and healthcare.

Mr. Nance has developed and maintained complex data pipelines on multiple projects, including the Arrest Related Deaths (ARD) media review project for the Bureau of Justice Statistics, which reduced a monthly volume of over 1 million incoming articles by more than 99 percent using fuzzy deduplication and machine learning techniques. He actively works across all aspects of RTI’s Call for Service (CFS) Analytics application, including feature development, client installations, and data mapping. Mr. Nance has also worked on numerous other projects, including developing a series of web-based visualizations for transportation data, building a desktop application to measure near-repeat crime prevention potential, and performing analysis on operational data from the National Human Trafficking Hotline for an evaluation.

Mr. Nance is familiar with a wide variety of programming languages and technologies, including Python, Javascript, Go, C++, and SQL. He previously interned at RTI before joining full-time in 2015.