Data Science Librarian

Position Overview

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 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.

They participate in library planning and serve on library-wide committees, task forces, and teams.

Librarians are expected to be active professionally and to contribute to developments in the field.

The position reports to the Department Head, Data Science Services.

Other duties as assigned.

Minimum

Education and Experience:

ALA‑accredited MLS, MIS, or other relevant, advanced degree.

• 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, Google Sheets 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:

• 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.

Wolfpack Perks and Benefits include:

• Medical, Dental, and Vision.
• Flexible Spending Account.
• Retirement Programs.
• Disability Plans.
• Life Insurance.
• Accident Plan.
• Paid Time Off and Other Leave Programs.
• 12 Holidays Each Year.
• Tuition and Academic Assistance.
• And so much more!
• Attain Work‑life balance with Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.

NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The…