Developer

Job Description Summary & Additional Information

Organization's Summary Statement:  

This position is responsible for assisting in data analysis and modeling efforts to support institutional research and decision-making in an academic setting. The Data Scientist will work under the guidance of senior team members to extract insights from data, develop predictive models, and contribute to data-driven initiatives.

EXAMPLES OF WORK: 

Assist in collecting, cleaning, and analyzing data from various sources.
Support the development and implementation of data models and algorithms.
Collaborate with senior data scientists to identify patterns and trends in data.
Contribute to data visualization and reporting efforts.
Participate in data-driven research projects and initiatives.

Physical Demands: N/A

Licenses/ Certifications: N/A

Preferences:

● Advanced degree in computer science or a related field of information management or equivalent work experience, plus professional experience with technology-focused metadata projects,
scripting, and data manipulation
● Experience using or architecting APIs
● Conceptual knowledge of programming, data manipulation and transformation tools, technologies and methodologies (e.g., SQL databases, PHP, Python, Ruby, JavaScript, OpenRefine)
● Demonstrated success with working in project teams collaboratively, with multiple levels of staff, colleagues, and community constituencies
● Familiarity with ontology development and structured data standards, such as controlled vocabularies and thesauri
● Experience with analyzing, creating and documenting procedures such as service standards, policies, procedures and workflows

Additional Desired Qualifications
● Knowledge of range of linked data standards and tools such as RDF triple-stores, SPARQL queries, JSON-LD, IIIF, BIBFRAME, and/or the Web Annotation standard
● Knowledge of XML schema, XSLT stylesheets, metadata cross-walks, and principles for designing and/or adapting existing work from related domains
● Knowledge of archival and library metadata standards (descriptive, technical, structural) (e.g., EAD, MARC, MARCXML, METS, MODS, FCGD, CCO, Dublin Core, VRA and others)
● Applied knowledge of SNAC platform
● Demonstrated success performing complex work both independently and collaboratively with a diverse group of people, and values of community work
● Ability to learn and master new software, systems, and technology as required
● Experience working with archival collections or knowledge of archival repository functions, services, and requirements
● Experience working with Native and Indigenous (or other BIPOC) communities
● Familiarity with core university digital systems and platforms such as Google Suite and Zoom.

Required Application Materials: Resume/Cover Letter

 

Best Consideration Date: N/A

 

Posting Close Date: 7/28/2025

 

Open Until Filled: N/A

 

Minimum Qualifications

Education: Bachelor’s degree from an accredited college or university. 

Experience: Three (3) years of professional experience in data analysis, data modeling, or related roles. 

 
KNOWLEDGE, SKILLS, ABILITIES: 

Knowledge of machine learning techniques and algorithms.
Knowledge of database querying languages (e.g., SQL).
Knowledge of data privacy practices and regulations.
Knowledge of higher education data and research fields.
Knowledge of data preprocessing and cleaning techniques.
Experience with data visualization libraries (e.g., matplotlib, ggplot).
Knowledge of statistical analysis techniques.
Skill in analytics and problem solving. 
Skill in using Microsoft Office and Google Suite products. 
Ability to communicate and collaborate with various stakeholders. 

Job RisksNot Applicable to This Position

DepartmentINFO-College of Information Studies

Worker Sub-Type Staff Contractual (C2) (Fixed Term)

Salary Range$120,000 - $120,000

Benefits Summary

For more information on Staff Contractual CII benefits, select this link .

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.  Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination Notice

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