Remotery

Visiting Professor, Data Analytics

Posted Jul 30

This is a fully remote position, open to applicants in Arizona, +2 more states.

πŸ“‹ Description

β€’ Develops and provides students with an approved DeVry University syllabus that adheres to a template set by the local campus, which includes the terminal course objectives.

β€’ Organizes, prepares, and routinely revises and updates all course materials.

β€’ Utilizes suitable technological options for online technologies and course-related software, such as websites, e-mail, and online discussions, to prepare the course and ensure accessibility for students.

β€’ Exemplifies effective oral and written communication that engages students, provides clarity, and enhances student learning.

β€’ Establishes clear course expectations by publishing terminal objectives, assignment/examination dates, and the weight distribution of various evaluation categories.

β€’ Ensures that the content and difficulty level of examination materials align with the course terminal objectives.

β€’ Maintains consistency and fairness in exam preparation and grading, providing timely feedback to students.

β€’ Embraces and integrates the responsible use of AI technologies in the classroom to improve teaching and learning outcomes.

β€’ Demonstrates the capability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.

β€’ Performs other duties as assigned.


⛳️ Requirements

β€’ A doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field is required, with a minimum of 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline.

β€’ Applicants must submit unofficial graduate-level transcripts with their application.

β€’ Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution deemed to hold equivalent accreditation.

β€’ Three to five years of practical professional experience in data analytics, data science, business intelligence, statistical analysis, or data-driven decision support.

β€’ Proven experience with data analysis tools and programming environments, which may include statistical software, data visualization platforms, database technologies, and programming languages utilized for analytics.

β€’ Possession of industry-recognized certifications or professional credentials relevant to data analytics, data science, business intelligence, or statistical analysis.

β€’ Strong subject matter expertise in data analytics concepts and methodologies, coupled with effective communication skills and the ability to convey complex quantitative concepts to diverse learners.

β€’ Knowledge of ethical and responsible data practices, including data governance, privacy considerations, bias awareness, and responsible data use in decision-making.

β€’ Additional requirements may apply based on state licensing, institutional policy, or accreditation standards.

β€’ Faculty must demonstrate a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.


🏝️ Benefits

β€’ Competitive salary and comprehensive benefits package.

β€’ Opportunities for professional development and continued education.

β€’ Access to cutting-edge technology and resources for teaching.

β€’ Supportive and collaborative work environment.

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