Part-Time Lecturer - Analytics Toronto
Part-Time Lecturer - Analytics Toronto
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Job Description
About the Opportunity
About Northeastern:
Founded in 1898 Northeastern is a global research university and the recognized leader in experiencedriven lifelong learning. Our worldrenowned experiential approach empowers our students faculty alumni and partners to create impact far beyond the confines of discipline degree and campus. Our locationsinBoston; Charlotte North Carolina; London; Portland Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlingtonand the Massachusetts communities of Burlington and Nahantare nodes in our growing global university system. Through this network we expand opportunities for flexible studentcentered learning and collaborative solutionsfocused research. Northeasterns comprehensive array of undergraduate and graduate programs in a variety of oncampus and onlineformatslead to degrees through the doctorate in nine colleges and schools. Among these we offer more than195multidiscipline majors and degrees designed to prepare students for purposeful lives and careers.
The College of Professional Studiesis one of nine colleges of Northeastern University a nationally ranked private research university. Founded in 1960 the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate graduate and doctoral students on campus and online in more than 90 programs.
About the Opportunity:
Northeastern Universitys College of Professional Studies invites applicants for a parttime faculty position to teach in the Master or Professional Studies Analytics located onground in Toronto.
Responsibilities:
The Master of Professional Studies in Analytics is looking for a parttime faculty teaching courses across the program with special emphasis on applied machine learning artificial intelligence and experiential network addressing the business challenges in the industry.
Instructional areas include but are not limited to analytics with expertise in probability and statistics data exploration data visualization and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals including preparing data conducting data analysis such as regression forecasting optimization data visualization and data story telling. This degree prepares students for entry and midlevel roles in analytics such as data analyst data specialist database analyst program analyst research analyst or research associate. These roles are general analyst roles and are not specific to any professional domains or disciplines (e.g. business marketing and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.
Qualifications:
Minimum qualification: Masters in an aligned discipline and analyticsindustry experience.
Preference for candidates with a PhD in a sciences field or similar.
Demonstration of teaching at the graduate level (onground) is strongly preferred.
Supervision:
This position will report to the Associate Dean of Graduate Programs.
Application Materials:
Applicants should submit materials including a letter of interest vitae and contact information for three professional references. In your cover letter please discuss how you can support our commitment to fostering an inclusive environment for all faculty staff and students. Please direct questions to Chris Bolick . Applications will be reviewed until the position is filled.
Position Type
AcademicAdditional 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 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.
Employment Type
Part-Time
