Data Scientist & Visualization Specialist, Libraries

Description

James Madison University Libraries is accepting applications for a Data Scientist & Visualization Specialist. As a member of the Data Analytics Team in Libraries’ Administration, this position advances the University and the Libraries’ commitment to diversity and to student, faculty, and staff success by providing computationally sophisticated analyses and visualizations of the Libraries’ scholarly resource and academic technology data to support initiatives and decision-making within the organization, the university, and the state. In addition, the Libraries is a member of the Virtual Library of Virginia (VIVA), Virginia’s academic library consortium, and the Virginia Research Libraries, both of which regularly engage in data analysis projects requiring support from the Data Analytics Team. 
 
This is a 40-hour, Administrative and Professional (AP) Faculty position working Monday through Friday with some flexibility in hours. This position is remote-optional with periodic travel to JMU for onsite training and collaboration. 

The Libraries currently utilize data from several systems, including the Alma/Primo library services platform and the Canvas learning management system, as well as numerous repository, publisher, and academic technology platforms. 

The successful applicant 

• Develops, maintains, and applies a set of methodologies for library-related data management and analysis informed by industry standards and best practices. 

• Identifies, illuminates, and mitigates the potential for systemic bias in methods, analysis, reporting, visualization, and interpretation. 

• Incorporates university and library privacy policies, as well as privacy-by-design principles into data analytics work. 

• Compiles and analyzes large data sets to create analytical reports and visualizations for a diverse set of stakeholders. 

• Collaborates with Libraries and University colleagues to determine relevant data needs and analysis tools. 

• Provides additional learning analytics and data analysis support for projects at the local, state, and national levels. 

• Conducts benchmarking with vendors, peer institutions, constituency groups, and stakeholders. 

• Participates in professional development, scholarship, and service activities, as appropriate.