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 Analytics. 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 ([email protected]). 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 foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity. Position Type Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Pay Range: Assistant Teaching Professor: $99,000.00 - $128,000.00 CAD With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change. Applicant must be legally entitled to work in Canada for the duration of the appointment or employment without employer sponsorship. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.    Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.

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