Assistant Professor - Master of Data Analytics

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. 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 center 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 :

The Master of Data Analytics program invites applications for the position, Assistant Professor, Master of Data Analytics. We are seeking highly qualified and motivated individuals with a strong background in math, computer science, economics, information technology or related fields to join our diverse faculty team. The ideal candidate will have an advanced academic background (PhD) and extensive expertise in the fields of data science, machine learning, and data analytics. The candidate will be responsible to teach advanced courses in data science, machine learning, and predictive, prescriptive, and descriptive analysis, as well as mentoring students to achieve career success.

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.
• Encourage critical thinking and problem-solving amongst students in the application of data science concepts.

Required Qualifications and Experience :

Application process

Interested candidates are invited to submit an application, using ONE document that includes a cover letter, resume / curriculum vitae (CV) including evidence of teaching experience and scholarly accomplishments, and teaching portfolio (if applicable), as well as the names of three references. A single PDF document is preferred. Note : file maximum of 5MB per attached upload.

Diversity, inclusion, and equity

UNF is strongly committed to equity, diversity, and inclusivity within its community and especially invites applications from all qualified candidates. Racialized persons / persons of color, women, Indigenous / Aboriginal People of North America, persons with disabilities, 2SLGBTQI+ persons, and others who may contribute to the further diversification of ideas are encouraged to apply.

We recognize that applicants may have had obligations outside of work that have negatively impacted their record of achievements (e.g., parental, elder care, and / or medical). You are not required to disclose these obligations in the hiring process. If you choose to do so, UNF will ensure that these obligations do not negatively impact the assessment of your qualifications for the position.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

We will accommodate the needs of the applicants and the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the selection process, please advise [email protected] to ensure your accessibility needs are accommodated through this process. Information received relating to accommodation measures will be addressed confidentially.

We appreciate all applications received; however, only candidates selected for an interview will be contacted.

We are situated on the traditional territory of the Haudenosaunee, Hatiwendaronk and Anishinaabe peoples. We also acknowledge the many other First Nations, Métis, and Inuit peoples who call this region home.

We commit to building relationships based on respect, reciprocity, and reconciliation as we work, learn, and gather on this land. Furthermore, we acknowledge that the Niagara region is situated on treaty land, and we stand with all Indigenous peoples, past and present, in promoting the wise stewardship of the lands on which we live.

Learn more about the University of Niagara Falls Canada at our website .