Adjunct Faculty - Analytics, Bachelor of Science (Oakland)

Northeastern University•Oakland, CA

15h•Hybrid

About The Position

The College of Professional Studies at Northeastern University is seeking applications for a non-tenure track part-time faculty lecturer in Analytics, Bachelor of Science, to teach on-campus and online undergraduate-level courses on the Oakland campus. Instructional areas include data analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and artificial intelligence. The Bachelor of Professional Studies in Analytics program aims to develop foundational analytics skills among working professionals, covering data preparation, analysis, modeling, prediction, forecasting, optimization, data-driven decision-making, visualization, and storytelling, along with relevant tools and technologies. This degree prepares students for entry and mid-level roles in analytics, machine learning, data science, data engineering, and AI across various professional domains and disciplines. The program emphasizes experiential learning linked to professional applications. The College of Professional Studies, founded in 1960, is one of ten colleges at Northeastern University, offering lifelong experiential learning to undergraduate, graduate, and doctoral students in over 90 programs. Northeastern University will not provide employment visa sponsorship for this position, and the successful applicant must maintain valid work authorization in the United States without university sponsorship.

Requirements

Master's in aligned discipline and analytics-industry experience.
Demonstration of teaching, coaching, and/or training is required
Ability to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University’s sponsorship for a visa.

Nice To Haves

Preference for candidates with a PhD in a scientific field or similar.
A history of successful academic teaching (online/on-ground) is strongly preferred.

Responsibilities

Qualified candidates must be prepared to work with global student populations.
Develop and deliver engaging lectures and high-quality instruction on subjects specified above.
Foster an inclusive and interactive learning environment.
Evaluate and assess students’ progress through assignments, projects, and exams.
Provide timely feedback to help students improve their achievement of learning objectives