Digital Humanities Technology Specialist

Description

The Digital Humanities Technology Specialist is the DevOps engineer and
technical developer within NYU IT Research Technology and NYU Libraries
Specialized Research Services, a group that encompasses Data Services (DS)
and Digital Scholarship Services (DSS). This Specialist will work alongside
IT staff, librarians and researchers to plan and develop cutting edge
research infrastructure that will advance the state of humanities and
social science scholarship. This position builds capacity for emerging
scholarly research environments, supports specialized repository
development and growth, and works in concert with the Digital Library
Technology Services group and NYU Research Technology to investigate and
implement solutions for machine access and delivery of digital library
collections of interest to scholars.

Required Education:
Bachelor's Degree

Preferred Education:
Master's Degree Master's degree in computer science, data science,
engineering or other technical field is strongly preferred. or

Required Experience:
3+ years relevant experience or an equivalent combination of education and
experience. Demonstrated experience in supporting information technology,
development, programming or coding/scripting.

Preferred Experience:
1+ years demonstrated practical and theoretical experience with digital
humanities, data science, statistical analysis, or geospatial methods is
preferred and will be considered in lieu of a Master's degree. or 1+ years
Experience in an academic environment, preferably in Libraries and/or IT.
Comfort working with colleagues and end-users to troubleshoot technical
problems. Experience making contributions (code and governance) to open
source projects. Experience or familiarity with numeric, text, or spatial
datasets and/or customization of common content management systems (Omeka,
WordPress) is highly preferred.

Required Skills, Knowledge and Abilities:
High-level proficiency in at least one scripting language such as Python;
experience with Bash (shell scripting), JavaScript, and/or Ruby; knowledge
of Unix command line utilities, Git, web server administration, and
interaction with APIs and database systems. Experience cleaning and
optimizing data in various forms. Excellent written and verbal
communication skills.

Preferred Skills, Knowledge and Abilities:
Familiarity with Data Services, Digital Humanities, or Geospatial Analysis.
Familiarity with digital scholarship tools and methods, including text
analysis (natural language processing), web scraping, machine learning.
Administration of data infrastructure; including web development (Ruby on
Rails, JavaScript) and infrastructure work (shared hosting environment,
AWS, Tomcat, Apache/nginx, SSL certificate management, Postgres and MySQL
databases, DNS), and several web applications comprising the spatial data
infrastructure (geoblacklight, GeoServer, Apache Solr, Phusion Passenger,
PostGIS); interest in working on digital library systems.

Additional Information
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity