Computer Science - Assistant Professor (Master of Data Analytics)

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 ofering 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
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:

• PhD in Mathematics, Economics, Computer Science, or a related field.
• Strong knowledge of machine learning techniques and algorithms.
• Expertise in predictive, prescriptive, and descriptive analysis.
• 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.
• Experience in the development of machine learning models and working with big data is preferred.

Application process
Interested candidates are invited to submit a cover letter, curriculum vitae (CV) including evidence of teaching experience and scholarly accomplishments, a sample syllabi and teaching portfolio (if applicable), as well as the names of three references.

Apply Now

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

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