Part-Time Lecturer - Analytics (Seattle)

Northeastern University’s College of Professional Studies invites applicants for a non-tenure track part-time faculty position to teach in the Master of Professional Studies in Analytics, located on-ground in Seattle, WA.

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 mid-level 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 particular 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.

The College of Professional Studies is one of ten 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.  

Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, and predictive analytics. More in formation about offered courses are available through the Northeastern Course Catalog.

• Masters in an aligned discipline and analytics-industry experience.
• Preference for candidates with a PhD in a sciences field, or similar.
• Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.  

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.