Online Visiting Professor, Data Analytics

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

📋 Description

• Instruct courses and programs in alignment with DeVry University standards.

• Create course syllabi and lesson plans utilizing effective teaching strategies.

• Develop, organize, prepare, modify, and update course content.

• Employ online technologies and course-related software, such as websites, email, and online discussions.

• Demonstrate effective oral and written communication skills.

• Announce course objectives, assignment and exam schedules, as well as evaluation category weightings.

• Ensure that exams are consistent with course terminal objectives.

• Prepare and grade exams fairly and consistently, providing prompt feedback to students.

• Incorporate responsible AI technologies to enhance the teaching and learning experience.

• Identify, assess, and address appropriate and inappropriate student utilization of AI tools.

• Perform additional duties as assigned.

⛳️ Requirements

• A Doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field is required.

• A minimum of 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a similar computational discipline.

• Unofficial graduate-level transcripts must be submitted with the application.

• Degree must be conferred 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 internationally equivalent accredited institution.

• Three to five years of relevant professional experience in data analytics, data science, business intelligence, statistical analysis, or data-driven decision support.

• Proven experience with data analysis tools and programming environments, including statistical software, data visualization platforms, database technologies, and analytics programming languages.

• Industry-recognized certifications or professional credentials pertinent to data analytics, data science, business intelligence, or statistical analysis.

• Strong expertise in data analytics concepts and methodologies.

• Excellent communication skills, with the ability to convey complex quantitative concepts to a diverse range of learners.

• Understanding of ethical and responsible data practices, including data governance, privacy, bias awareness, and responsible data usage.

• Additional requirements may be dictated by state licensing, institutional policy, or accreditation standards.

• A commitment to continual professional development in instructional technology, digital literacy, and responsible AI practices.

🏝️ Benefits

• Comprehensive faculty training program.

• Ongoing faculty development opportunities.

• Chance to teach and impart industry knowledge to undergraduate and graduate students.

• Reasonable accommodations available for individuals with disabilities.