Posting DetailsPosting Information
Posting Number PG194690EP
Internal Recruitment No
Working Title Data Science Librarian
Anticipated Hiring Range $77,000 minimum
Work Schedule University Business hours are Monday - Friday 8AM - 5PM. The Libraries supports flexible work arrangements based on departmental and operational needs. This position will require frequent onsite work. Exempt position.
Job Location Raleigh, NC
Department Libraries
About the Department The NC State University Libraries invites applications and nominations for the position of Data Science Librarian. The
Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate student assistants) 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.
Essential Job Duties 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.
The position deeply considers how their approach to their daily work reflects and advances the
Libraries' Strategic Plan, creating an environment and community that is welcoming for both patrons and colleagues alike. The position participates in library planning and serves on library-wide committees, task forces, and teams. Librarians are expected to be active professionally and to contribute to developments in the field. This position reports to the Department Head, Data Science Services.
This position is based in North Carolina. This position is eligible for flexible hours with a hybrid work environment. This position will require frequent onsite work.
Other Responsibilities Other duties as assigned.
Qualifications
Minimum Education and Experience - ALA-accredited MLS, MIS, or other relevant, advanced degree
Other Required Qualifications Applicants are encouraged to think broadly about and communicate how their skills and experiences transfer to the qualifications below, including in ways that may not be obvious, such as how non-library-specific skills and experiences speak to the position responsibilities. We strongly encourage and welcome applicants with a variety of backgrounds, interests, and experiences to apply for this position.
- Proficiency with concepts for working with tabular data, such as data generation, preparation, analysis, and demonstrated experience with one or more of the following tools for working with spreadsheets and tabular data, such as SPSS, SAS, JMP, GoogleSheets and/or STATA
- Proficiency with concepts for data visualization, including conceptualizing, designing, and building effective data visualizations for research presentations and publications
- Ability to teach workshops, instruction, or other types of training sessions about preparing and visualizing data, including sessions based in Google Sheets
- Demonstrated ability to learn and apply new technical skills and tools; evidence of ongoing, self-directed learning
- Interest in providing services that support students, faculty, and staff in developing their data skills
- Ability to serve and collaborate with a large user community reflecting a variety of backgrounds and disciplines
- Ability to foster an environment of belonging and well-being
- Ability to communicate clearly and knowledgeably through a variety of mediums; ability to represent the Libraries to university and external audiences
- Demonstrated ability to collaborate effectively and work in a team environment
- Evidence of ability for ongoing professional development and contribution to the library profession
Preferred Qualifications It is not required that candidates meet any of the preferred qualifications to be considered for this position. The following skills represent some of the areas in which this position could potentially grow and focus, based on the incumbent's background and interests.
- Demonstrated knowledge and evidence of application of one or more specific data approaches, such as: advanced data visualization; survey design and methodology; qualitative analysis; statistics; or others
- Proficiency with one or more programming languages for data transformation, analysis, and visualization, such as R, Python, etc.
- Experience providing consultation or developing and delivering instruction, workshops, or training for data topics
Required License(s) or Certification(s) N/A
Valid NC Driver's License required No
Commercial Driver's License required No
Recruitment Dates and Special Instructions
Job Open Date 06/02/2026
Anticipated Close Date Open Until Filled
Special Instructions to Applicants Please complete the required application fully and attach a cover letter, resume, and contact information for four (4) current professional references.
Position Details
Position Number 00112010
Position Type Non-Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week) 1.0
AppointmentMandatory Designation - Adverse Weather Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events Non Mandatory - Emergency Event
Department ID 250101 - Libraries