Academic Expert in Prescriptive Analytics
3 weeks ago
We are seeking a highly qualified and experienced academic expert to join our faculty at the University of Niagara Falls Canada.
About UsThe University of Niagara Falls Canada is an innovative institution dedicated to delivering high-quality education that prepares graduates for leadership in the digital world. Our campus is located in historic downtown Niagara Falls, offering a unique blend of urban amenities and small-town charm.
Job SummaryThis is a part-time position as a Sessional Instructor teaching the course Prescriptive Analytics. The successful candidate will be responsible for delivering engaging lectures, preparing course materials, and assessing student progress. We offer a competitive salary of $7,200 per course, paid in installments.
Key Responsibilities- Lecturing & Teaching: Deliver high-quality 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.
To be considered for this role, you must possess:
- 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, machine learning, and operations research at the undergraduate or graduate level.
- Strong familiarity with software and programming languages used in prescriptive analytics, with demonstrated proficiency in Excel and Python and/or SAS.
The University of Niagara Falls Canada values diversity, equity, and inclusion within its community and encourages applications from all qualified candidates. We recognize that applicants may have had obligations outside of work that have negatively impacted their record of achievements and commit to building relationships based on respect, reciprocity, and reconciliation as we work, learn, and gather on this land.
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