Data Analytics Instructor for Predictive Modeling

4 weeks ago

Toronto, Ontario, Canada University of Niagara Falls Canada Full time
About the Opportunity

We are seeking an experienced Data Analytics Instructor to join our team at the University of Niagara Falls Canada, located in historic downtown Niagara Falls.

The successful candidate will teach our Master of Data Analytics program course, Predictive Analytics, and contribute to the development of our curriculum. As a key member of our faculty, you will be responsible for delivering engaging lectures and instructional content, preparing course materials, and providing academic support to students.

Key Responsibilities
  • Lecturing & Teaching: Deliver dynamic lectures and instructional content across multiple delivery modes (in-person, online, or hybrid) to create an inclusive learning environment.
  • Course Materials: Prepare, update, and maintain course materials, including assignments, quizzes, and exams, ensuring they are accessible and relevant to students' learning.
  • Student Engagement: Offer regular office hours to meet with students, address inquiries, and provide academic support.
  • Assessment & Grading: Design and grade assignments, tests, and exams in a timely and consistent manner, providing meaningful feedback to students on their progress.
Required Qualifications
  • A Doctorate/Ph.D. in Data Science, Computer Science, Statistics, Math, Economics, or a related field, with a focus on predictive analytics or data analytics.
  • Teaching experience in predictive analytics, regression modeling, data mining, and machine learning at the undergraduate or graduate level.
  • Strong familiarity with software and programming languages used in predictive analytics, with demonstrated proficiency in SAS and Excel.
About Us

We are an innovative and digitally oriented institution that prepares graduates for leadership in the digital world. Our location in historic downtown Niagara Falls offers a unique blend of metropolitan living and small-town charm.

We recognize the importance of diversity, equity, and inclusion in our community and invite applications from all qualified candidates. We are committed to creating an inclusive learning environment that promotes student success and engagement.

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