About this position
About the Opportunity 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 continued 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 students 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, assistant rank, non-tenure track, renewable appointment. Responsibilities This full-time faculty member is expected to bring their intellectual and creative capacity to bear in advancement of the program, seeking to serve students by participating in a range of teaching and non-teaching activities that support the advancement of the program. They will teach a full teaching load spread throughout the year and will work with the program office on administrative issues and programmatic projects. Teaching and Curricular Oversight (approx. 70%) • 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 Machine Intelligence, Evidence Based Management, and Statistical Modeling. • In conjunction with the Program Lead, develop and implement course learning outcomes, curriculum maps, resource guides, textbooks, syllabi templates, and updated course materials; includes campus-specific coursework as desired. • Oversee the instruction of specific courses within the curriculum. Responsibilities include supporting the Program Lead in the selection of part-time instructors, advising on syllabi, and evaluating part-time instructor performance. • Identify and provide recommendations to keep curriculum relevant and industry-leading. • Work with the Program Lead to ensure regional license/accreditation requirements are met. · Participate in comprehensive evaluations and periodic reviews as required by the campus in which the campus operates. Teaching and actual course load may vary with other responsibilities, which include, but are not limited to: Scholarship and Service to the University (approx. 30%) • Create and present professional development opportunities for full and part-time faculty in the unit and College. • Partner with stakeholders in enrollment management and marketing to represent the program at open houses and orientations. • 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. The position is based in Vancouver, BC. Qualified candidates must be prepared to work with global student populations. Faculty enjoy a collegial work environment that allows for work-life balance and are expected to be available to students as needed. The faculty member will report directly to the program director of the MPS in Analyti cs. Qualifications The successful candidate must demonstrate strong teaching abilities and a dedication to continued improvement as an educator. Experience teaching at the master’s level, teaching and developing on ground and online courses, and proven success in working with international students are desired attributes. The successful candidate will have the following qualifications and characteristics: • A terminal degree from an accredited institution in computer science, statistics, analytics, data science, or a related field by appointment date. • 3+ years of professional experience in advanced analytics or data science. Possessing knowledge about how to manage, analyze, communicate, visualize, and lead with artificial intelligence is a plus. • Excellent written and oral communication as well as presentation skills, with an ability to communicate technical concepts / solutions to external business partners, students, and other stakeholders. Interested candidates should apply here with a curriculum vita, cover letter and teaching statement addressing the prompt below, and names and contact information for at least three professional references from whom letters of reference can be solicited as needed. Applications will be reviewed on a rolling basis, as they arrive. Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in a teaching statement addressing the following prompt: Teaching statement (1 page): Please summarize your past instructional and mentorship experiences, your pedagogical philosophy, your plans/goals for teaching in the College of Professional Studies (including existing and proposed courses), and your strategies for teaching and mentoring global student populations. Please direct questions to Joe Reilly (j.reilly@northeastern.edu). Applications will be reviewed on a rolling basis. Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foste
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