Description
The NC State University Libraries invites applications and nominations for the position of Data Science Librarian. The Data Science Services (DSS) department helps students and other researchers develop critical data science and visualization skills through expert consultation, workshops, and classroom instruction. The department provides support for a wide range of data lifecycle activities including data collection, discovery, access, evaluation, cleaning, preprocessing, transformation, modeling, analysis, geospatial techniques, and visualization. The department is the service owner for the Dataspace in the Hunt Library and the Data Experience Lab in the Hill Library, community-oriented spaces offering specialized computing, expert assistance, and services supporting data science and visualization. DSS collaborates with others in the Libraries and with NC State’s Data Science and AI Academy (DSA), a university-wide effort to meet the university’s growing needs for data science research, education, and expertise.
Responsibilities
The Data Science Librarian provides expert consultative support, workshop-based training, and course-integrated instruction for students, faculty, and researchers in the areas of data science and visualization. The position leads DSS's support around tabular data, spreadsheet software and tools, and data visualizations, while also contributing to other data science topics aligned with their skills and patron needs. They design, develop, and deliver workshops, both as part of an open workshop series and in collaboration with faculty for course-integrated instruction. They engage with faculty, campus groups, and external partners to support the university’s data and visualization needs, and conduct relevant outreach and participate in sponsoring events. The position collaborates with colleagues and faculty on data-related initiatives and projects, contributes to departmental projects and initiatives, and may mentor or supervise graduate student consultants in their skill areas.
Requirements
- ALA-accredited MLS, MIS, or other relevant, advanced degree
