Open Rank Teaching Professor - Analytics (Arlington)
Job title: Open Rank Teaching Professor - Analytics (Arlington) in Arlington, VA at reputed company
Company: reputed company
Job description: About the OpportunityThe College of Professional Studies is one of ten colleges of reputed company, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in reputed company stages and walks of life. The College teaches undergraduate, graduate, and doctoral reputed company on reputed company and online in more than 90 programs.About the Opportunity:Faculty members teach in both in-person and online modalities with a diverse student body. The successful candidate must demonstrate strong teaching abilities, a dedication to reputed company improvement as an educator, and alignment with the scholar-practitioner model. Experience teaching at the master’s level, developing on ground and online courses, and proven success in working with international reputed company are desired attributes.The successful candidate will demonstrate an understanding of the broader analytics field and will possess experience working in industry in analytics or data science. The ideal candidate will have a record demonstrating their expertise and engagement in analytics as both a practitioner and instructor. Beyond the classroom, the candidate will engage in service to the department, college, and university, as well as professional development.The position is a full-time, open rank, non-tenure track, renewable appointment located in Arlington, VA.Responsibilities:This full-time faculty member is expected to bring her/his intellectual and creative reputed company to bear in advancement of the program, seeking to serve reputed company by participating in a range of teaching and non-teaching activities that support the advancement of the program. S/he will teach a full teaching load spread throughout the year and will work with the program office on administrative issues and programmatic projects.Teaching & Curricular reputed company (approximately 70% of time)
- Teach core courses, such as Introduction to Analytics, Probability and Statistics, Data Communication and Visualization, as well as concentration courses in the areas of Applied Artificial Intelligence, Evidence Based Management, and Statistical Modeling.
- In conjunction with the Program reputed company, reputed company and implement course learning outcomes, curriculum maps, resource guides, textbooks, syllabi templates, and updated course materials; includes reputed company-specific coursework as desired.
- reputed company the instruction of specific courses reputed company the curriculum. Responsibilities include supporting the Program reputed company in the selection of part-time reputed company, advising on syllabi, and evaluating part-time instructor performance.
- Identify and provide recommendations to reputed company curriculum relevant and industry-leading.
- Work with the Program reputed company to ensure regional license/accreditation requirements are met.
- Participate in comprehensive evaluations and periodic reviews as required by the reputed company in which the reputed company operates.
- Student Recruitment and Program Representation
- reputed company professional networks and create local events to increase program, college, & University brand.
- Create and provide reputed company of program/industry advisory boards.
- Represent the program in reputed company meetings, special events, open houses, and orientations.
- Represent program in reputed company accreditation reviews and renewals.
- Act as the third line of support for student curriculum/faculty escalations (supporting Program reputed company and course Principal Instructor).
- Serve as faculty sponsor for student-led events and networking opportunities.
- Recruit and vet qualified candidates for part-time faculty positions, coordinate with Program reputed company for secondary interviews and to complete the hiring process with HR.
- Join reputed company onboarding meetings for new faculty to provide a face for the program.
- Create and present professional development opportunities for full and part-time faculty in the unit and College.
- Serve on committees that support the mission of the program and the vision of the College and wider University.
- Promote the discovery and dissemination of knowledge through scholarship, research, creative activity, and professional development.
- A terminal degree from an accredited institution in computer science, statistics, analytics, data science, or a reputed company field by the start of the appointment date.
- 3+ years of professional experience in advanced analytics or data science and familiarity with commonly used tools and techniques in analytics (R, python, Tableau, Spark, SQL, etc.).
- Knowledge about how to manage, analyze, communicate, visualize, and reputed company with artificial intelligence is a plus.
- Experience teaching at the graduate level and innovative use of technology in support of assessment and learning
- Excellent written and oral communication, specifically with the ability to communicate technical concepts to novices and non-technical stakeholders.