Faculty, Data Analytics

Occupational Summary

This full-time faculty member will teach courses in data-analytics and related disciplines, and will oversee the development of courses related to data science, data management, applied data analytics, and statistics. The faculty member will collaborate with faculty and students across the academic unit. The position may have an interdepartmental joint appointment. The program is interdisciplinary and will thus require students to complete core courses in mathematics, statistics, and computer science in addition to data analytics. This position is responsible for developing and teaching courses at all levels in data analytics and possibly teaching courses in cognate departments. Faculty members contribute to the effectiveness of the University by working collaboratively on instructional policy, curriculum development, and staff development.

Professional involvement is demonstrated by active participation in scholarly and professional organizations. Student service relates to co-curricular activities that assist individual students and student groups beyond the classroom. Service to the institution involves activities that promote University well-being through program development, enrollment growth, resource acquisition, and committee involvement. Service to the community involves activities that contribute to the public welfare and represent the institution positively to the local, regional, national, or global community.

Stewardship Statement:

This position is responsible to cultivate and maintain the institution’s Catholic identity and its mission to empower graduates to transform society. As a member of the Newman University community, the faculty member will join with the institution’s sponsors, the Adorers of the Blood of Christ (ASC Sisters), to witness God’s love in Mission to empower others, foster oneness, celebrate life, form right relationships, and walk as compassionate companions. The faculty member is responsible to uphold this mission in accordance with Ex Corde Ecclesiae, fostering an environment where Catholicism is present while encouraging an impartial search for truth across multiple disciplines engaged in interdisciplinary dialogue.

Work Performed:

• The primary professional responsibilities of instructional faculty members are: teaching, research and scholarship with graduate and undergraduate students; and service to the University, profession and to the community. These responsibilities include, but are not limited to: advising students, participation in campus and system-wide committees, maintaining office hours, working collaboratively and productively with colleagues, and participation in traditional academic functions.
• Engage in program and curriculum development.
• Provide leadership to adjunct faculty.
• Active engagement in professional development activities.
• Develop and maintain relationships with industry contacts to support internship programs, project collaborations and industrial mentoring.
• Assist the Dean in developing internal and external communities that promote the major field of study and School of Business.
• Compliance with all college and University policies.
• Other duties, as assigned.

Required Qualifications/Education/Experience/Skills/Training:

• A completed master’s degree from a regionally accredited institution is required in the field of one of the following:Mathematics, Statistics, Data Analytics, Data Science, Information Systems, Informatics, Computer Science, Computer Engineering or a discipline closely related to Data Analytics.
• Potential for or record of research, scholarly, and/or creative activity involving students.
• Interest in collaborating with other disciplinary scientists.
• Must be legally authorized to work in the United States of America.
• Must pass a criminal background check appropriate to the duties of the position.
• A demonstrated innovative research record and/or industrial experience, and potential for securing sponsored research, contracts and external grants.

Preferred Qualifications/Education/Experience/Skills/Training (any one or more):

• An earned doctorate from a regionally accredited institution in Statistics, Data Analytics, Data Science, Information Systems, Informatics, Computer Science, or a discipline closely related to Data Analytics.
• Teaching experience at the university level.
• Willingness to participate in the development of online learning experiences and curriculum development.
• Successful teaching experience at the university-level is preferred (could include experience gained during graduate studies).
• Demonstrated experience creating and teaching online courses
• Industry experience within data science and analytics include, but are not limited to Machine Learning, Big Data, Network Data, Forecasting, Computational Statistics, Inferential Modeling, Data Mining, or data science related to natural sciences or engineering.
• Demonstrated proficiency in scientific programming, specifically Python
• Demonstrated experience working with data in R
• Demonstrated experience working with spatial and remote sensing data
• Demonstrated working knowledge of cloud computing (e.g. Amazon Web Services)
• Experience with collaborative workflows and tools (e.g. Google suite, Slack, etc.)