Data Specialist

Title: Data Specialist

Location: Chapel Hill, NC United States

DepartmentUniversity Library-550501

Career AreaLibraries

Open Until FilledNo

Position TypePermanent Staff (EHRA NF)

Working TitleData Specialist

Appointment TypeEHRA Non-Faculty Instructional

Position Number20071813

Vacancy IDNF0009229

Full Time/Part TimeFull-Time Permanent

FTE1

Hours per week40

Position LocationNorth Carolina, US

Hiring Range

Job Description:

Working at the University Libraries puts you at the very heart of the nation's oldest state university. With an enduring commitment to the people of North Carolina, UNC-Chapel Hill is the number 4 ranked public university in the country and the 10th-ranked university for federal research funding.

At the University Libraries, you are part of a welcoming, inclusive, open library community that advances research, teaching, healing and creativity on campus and far beyond. Here, we strive to create an environment of respect and collaboration, where vision and innovation can flourish.

Primary Purpose of Organizational Unit

The University Libraries aspires to set the standard for public university research libraries in the digital age.

As one of the premier libraries in the South, we are an essential partner in the research, education, clinical care, and public service missions of UNC-Chapel Hill. The library system includes 10 on-campus Libraries, with nearly 10 million volumes, rich archival collections, and a growing investment in digital collections.

The University Libraries serves campus and broader communities that reflect the socioeconomic, ethnic, and religious diversity of the state of North Carolina, and we maintain a welcoming, inclusive, and open educational and workplace climate for all. We strive to create an environment of respect and collaboration where vision and innovation can flourish. Learn more about our Strategic Framework including our pillars, values, and priorities by visiting https://library.unc.edu/about/strategic-framework/.

Position Summary

The Data Specialist at the UNC-Chapel Hill University Libraries will provide artificial intelligence (AI) and data support for a project funded by the Mellon Foundation called On the Books: AI-Assisted Archives. Previous phases of this project created textual datasets of Jim Crow-era session laws from North Carolina, South Carolina, and Virginia and used machine learning to identify likely Jim Crow laws. The next phase of the project will expand this work to include the state of Texas and will endeavor to identify both Jim Crow and Juan Crow laws. Additionally, the project will investigate broadly the potential use of various applications of artificial intelligence for archival research. Examples include creating text corpora from historical legal documents, generating descriptions of photograph collections, and performing handwritten-character recognition (HCR) on archival documents.

The Data Specialist will be a member of the Digital Research Services department at the University Libraries as well as a member of the On the Books project team. The On the Books project team will use code and AI tools to create corpora and metadata and use machine learning to identify Jim Crow and Juan Crow laws. The Data Specialist will collaborate with scholars and special collections team members to ensure the work is applied appropriately for legal and historical contexts. The project team is committed to mentorship and maintaining a growth mindset. This is an excellent opportunity for someone to develop their skills in coding and AI.

This position may be eligible for a hybrid work arrangement to include a partially remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station.

Minimum Education and Experience Requirements

Master's or Bachelors and 0-2 years' experience; or will accept a combination of related education and experience in substitution.

Required Qualifications, Competencies, and Experience

An advanced degree in Information Science, Data Science, Statistics, Computer Science, or related field.

Proficiency working with unstructured data in Python and/or R.

Demonstrated advanced data skills, including data cleaning/wrangling/normalization, using regular expressions, and reshaping/merging data.

Proficiency using tools and programming libraries to support text analysis.

Some exposure to generative AI and a strong interest in learning more.

Experience working effectively with a team to plan and complete projects.

Detail oriented with excellent communication skills.

Preferred Qualifications, Competencies, and Experience

Experience using Python and/or R and relevant libraries for working with images, natural language processing, and working with application programming interfaces (APIs).

Knowledgeable about AI, including prompt engineering.

Experience using version control.

Experience developing technical documentation.

Experience working with data for projects in the social sciences and/or humanities.

Experience using AI tools for processing data.

Experience in building, training, evaluating, and tuning predictive models.

Special Physical/Mental Requirements Campus Security Authority Responsibilities

Not Applicable.

Special Instructions

A minimum of three references are required upon application submission.