Assistant Professor

**About the University of Niagara Falls Canada**

**Innovation Flows Here.**

Officially opening its doors in 2024, the University of Niagara Falls Canada (UNF) is an innovative and digitally oriented institution that prepares graduates for leadership in the digital world. We believe in delivering programs that provide a direct pathway to meaningful careers in high-demand industries. We are currently offering both undergraduate and graduate programs of Honours Bachelor of Business Administration, Honours Bachelor of Science-Biomedical Sciences, Master of Arts in Digital Media and Global Communications, Master of Data Analytics and a Master of Management. UNF is part of the Global University Systems Canada group of institutions and Global University Systems, an international network of higher education institutions.

**Our location**

Our campus is located in historic downtown Niagara Falls. Beyond being Canada’s #1 travel destination, Niagara Falls is a small vibrant city that offers up a slice of metropolitan living at a different pace. From world-class dining and entertainment options to luxury shopping and cultural experiences. Our location offers the amenities of a large urban centre within a comfortable, liveable community.

**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. Workplace problems frame and guide all learning in this program from real-world case studies, to Internships, to the capstone project, students build the specialty knowledge and technical competencies for a successful data analysis profession. The Master of Data Analytics (MDA) program provides the core training in the Data Science Lifecycle - from Problem Framing and Hypothesis Formulation to Data Exploration, Warehousing, Analysis, and Visualization.

**About the position**

**Title**: Assistant Professor, Master of Data Analytics

**Location**:**Niagara Falls, Ontario, Canada (Onsite)

**Work arrangement**:(onsite, days per week)

**Reports To**:**Associate Dean

**Reason for vacancy**:Existing vacancy/New Position

**Expected hiring salary: Minimum salary $91,800**
- _Rank and salary are determined through an internal review and approval process_

**About the position**

**Key Responsibilities**
- Design and deliver comprehensive and engaging lectures on data science topics, covering areas such as machine learning, statistical analysis, and data modeling techniques.
- Develop teaching plans, notes, and instructional materials to support effective learning.
- Ability to teach students key concepts in predictive, prescriptive, and descriptive analysis.
- Develop, supervise, and grade assignments, exams, and student projects.
- Monitor student attendance, academic progress, and provide feedback on performance.
- Provide academic counseling and career mentorship to support student's growth and success.
- Actively participate in curriculum development and continuous improvement of course content.
- Collaborate with other faculty members on research initiatives and interdisciplinary projects.
- Stay current with trends and advancements in data science and related fields, and integrate this knowledge into course materials.
- Foster a motivating, student-centered learning environment.

**Required Qualifications and Experience**:

- PhD in Industrial Engineering, Mathematics or Operations Research.
- Strong knowledge of machine learning techniques and algorithms.
- Expertise in Optimization techniques, Optimization software and python libraries, ERP systems such as Oracle or SAP is a plus.
- Proficiency in at least two of the following software tools: SAS, R, SQL, Python.
- Strong understanding of data analytics and data modeling techniques.
- Previous teaching experience at the university level, with a track record of successfully engaging and inspiring students.
- Previous experience in a research or industry-based data science role is preferred.
- Strong research profile in supply chain optimization, operations management, and data analytics.

**What we offer**
- The true ability to build and establish key curriculum
- Teaching delivery models of in-person, hybrid, and online learning
- Competitive base salary
- 4 weeks of vacation
- Extensive paid time off, including annual birthday leave
- 2 paid volunteer days to support your community
- Extended Health and Dental coverage, Emergency Medical Travel assistance
- Employee Family Assistance Program (EFAP)
- A generous annual Wellness Spending Account (LSA) And more

**Application process**

All documents must be submitted in electronic format (a single PDF document is preferred) Note: file maximum of 5MB per attached upload.

**Use of AI Disclosure**

We value diversity and strive to create an inclusive environment where all individuals have an equal opportunity to succeed. We comply with all re