James Madison University

Data Scientist & Visualization Specialist, Librari...

Job description

Data Scientist & Visualization Specialist, Libraries

James Madison University

James Madison University Libraries is accepting applications for a Data Scientist & Visualization Specialist. As a member of the Data Analytics Team in Libraries' Administration, this position advances the University and the Libraries' commitment to diversity and to student, faculty, and staff success by providing computationally sophisticated analyses and visualizations of the Libraries' scholarly resource and academic technology data to support initiatives and decision-making within the organization, the university, and the state. In addition, the Libraries is a member of the Virtual Library of Virginia (VIVA), Virginia's academic library consortium, and the Virginia Research Libraries, both of which regularly engage in data analysis projects requiring support from the Data Analytics Team.

The Libraries adheres to its Privacy Policy in working with user information.

This is a 40-hour, Administrative and Professional (AP) Faculty position working Monday through Friday with some flexibility in hours. This position is remote-optional with periodic travel to JMU for onsite training and collaboration.

The Libraries currently utilize data from several systems, including the Alma/Primo library services platform and the Canvas learning management system, as well as numerous repository, publisher, and academic technology platforms.

The Libraries particularly welcomes applicants who can enhance the inclusive excellence of our campus community, and who can demonstrate a commitment to building equitable and inclusive environments for teaching, learning, research, and service. We are committed to cultivating a welcoming place for everyone, encouraging dialogue, and celebrating diverse life experiences and perspectives. We encourage experimentation and creativity in pursuit of meaningful solutions that build on our position as core academic infrastructure for our campus community.

JMU offers excellent comprehensive benefits. Visit our Prospective Employee site to learn more about what makes James Madison University a great place to work!

Duties And Responsibilities

The Data Scientist & Visualization Specialist
  • Develops, maintains, and applies a set of methodologies for library-related data management and analysis informed by industry standards and best practices.
  • Identifies, illuminates, and mitigates the potential for systemic bias in methods, analysis, reporting, visualization, and interpretation.
  • Incorporates university and library privacy policies, as well as privacy-by-design principles into data analytics work.
  • Compiles and analyzes large data sets to create analytical reports and visualizations for a diverse set of stakeholders.
  • Collaborates with Libraries and University colleagues to determine relevant data needs and analysis tools.
  • Provides additional learning analytics and data analysis support for projects at the local, state, and national levels.
  • Conducts benchmarking with vendors, peer institutions, constituency groups, and stakeholders.
  • Participates in professional development, scholarship, and service activities, as appropriate.
Qualifications

The successful candidate will have:
  • Articulated ability to help foster an inclusive and equitable work environment.
  • Applied knowledge of statistical methods, data visualization, and data ethics.
  • Demonstrated experience with data modeling, cleaning, and normalization from a variety of data sources.
  • Working knowledge of one or more programming languages and related tools suitable for advanced data manipulation and analysis (e.g., Python, R).
  • Experience with data visualization software (e.g., Tableau, Power BI).
  • Excellent technological skills with the ability to quickly learn new systems and technologies.
  • Excellent written and verbal communication skills.
  • Strong organizational, time-management, and collaboration skills.
  • Demonstrated commitment to data ethics, data privacy, security and equity in data analysis and application.
  • Master's Degree or equivalent education and experience in Data Analytics/Science, Statistics, Computer Science, Operations Research, or other relevant disciplines.
Additional Considerations Include
  • Familiarity with trends in machine learning and artificial intelligence technologies, including societal impact concerns.
  • Experience in using library, higher education learning, and/or business systems and data, and the types of biases common to these contexts.
  • Knowledge, skill, and/or experience with critical quantitative inquiry and methods.
To learn more and to apply, go to joblink.jmu.edu and reference posting F2332 or go to https://joblink.jmu.edu/postings/15788 of applications begins 11/27/2023. Pay is a range of $60,000 - $70,000.

James Madison University is committed to creating and supporting a diverse and inclusive work and educational community that is free of all forms of discrimination. This institution does not tolerate discrimination or harassment on the basis of age, color, disability, gender identity or expression, genetic information, national origin, parental status, political affiliation, race, religion, sex, sexual orientation or veteran status We promote access, inclusion and diversity for all students, faculty, staff, constituents and programs, believing that these qualities are foundational components of an outstanding education in keeping with our mission. The university is interested in candidates whose experience and qualifications support an ongoing commitment to this core quality Anyone having questions concerning discrimination should contact the Office for Equal Opportunity: (540) 568-6991.

Copyright ©2022 Jobelephant.com Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency

jeid-1bddc80d9fe04b1a84cb718b67f9ba0e

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.