Data Analytics Instructor

5 days ago

London, Ontario, Canada University of Niagara Falls Canada Full time
About the University of Niagara Falls Canada

Innovation is at the heart of everything we do. As a rapidly growing institution, we are dedicated to providing innovative programs that prepare graduates for leadership roles in the digital world.

Our location offers the perfect blend of metropolitan living and comfortable community. From world-class dining and entertainment options to luxury shopping and cultural experiences, our campus is situated in historic downtown Niagara Falls.

About the faculty and department

Data analysis is one of the fastest emerging professions in Canada. The purpose of the Master of Data Analytics (MDA) program is to develop big data professionals who can grow in this high-demand career. Our program provides the core training in the Data Science Lifecycle – from Problem Framing and Hypothesis Formulation to Data Exploration, Warehousing, Analysis, and Visualization.

The Master of Data Analytics program invites applications for the position sessional instructor for the following course:

Course Name: Prescriptive Analytics

This course introduces statistical optimization methods and tools to build decision support and automation models. Students have the opportunity to explore and evaluate prescriptive analytics models in healthcare, finance, logistics, and other fields of their own interest.

Key Responsibilities:

  • Lecturing & Teaching: Deliver engaging lectures and instructional content across multiple delivery modes (in-person, online, or hybrid) to create an inclusive, dynamic learning environment.
  • Course Materials: Prepare, update, and maintain course materials, including assignments, quizzes, and exams. Ensure materials 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. Provide meaningful feedback to students on their progress.
  • Curriculum Development: Collaborate on curriculum development to ensure course content is aligned with industry standards and trends.
  • Technology Integration: Use internal software to manage grades, track progress, and update students on course material.

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, 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.
  • Industry experience in the application of predictive analytics in domains such as healthcare, consumer behavior analysis, credit risk assessment, etc., is a significant asset.
  • Curriculum development experience for on-site, online, and hybrid delivery is preferred.
  • Ability to mentor and advise students in both academic and professional development contexts.

Preferred Competencies:

  • Student-Centric Approach: Ability to create an inclusive learning environment that promotes student success and engagement.
  • Technical Expertise: Proficiency in predictive analytics methodologies, with hands-on experience in SAS, Excel, and data visualization tools.
  • Effective Communication: Excellent presentation skills with the ability to explain complex topics in an accessible way to students from diverse backgrounds.
  • Problem Solving: Creative problem-solving abilities, especially in integrating real-life case studies and practical examples into the curriculum.
  • Professionalism: Strong interpersonal skills, diplomacy, and discretion in dealing with colleagues and students.
  • Time Management: Ability to prioritize tasks and manage multiple responsibilities in a high-pressure environment.

Salary: $7,200 per course

We offer a competitive salary and benefits package to successful candidates.

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