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Masters, Data and Analytics Faculty

Position Job Title: Masters of Data Analytics Faculty

Location: On Site

Reports To: Associate Dean, Masters of Data Analytics

Position Overview

As a Full-Time Faculty member in the Master of Data Analytics program, you will play a pivotal role in shaping the future data analytics professionals. We are looking for a passionate educator with a strong academic background and hands-on industry experience to lead and inspire our students. You will have the opportunity to teach, mentor, and conduct research in a vibrant and collaborative environment.

Specific Responsibilities:

  • Deliver high-quality lectures, workshops, and seminars on a range of data analytics topics.
  • Develop applied courses for hands-on skills and industry led courses.
  • Deliver courses with contemporary methods, skills, and technologies.
  • Develop and update course materials, syllabi, and assessments.
  • Mentor and advise students, helping them excel academically and professionally.
  • Engage in scholarly activities, including research, publications, and presentations.
  • Contribute to program development and curriculum enhancement.
  • Collaborate with colleagues and industry partners to stay current with industry trends and best practices.
  • Participate in departmental meetings, committees, and other academic activities.
  • Promote a diverse and inclusive learning environment.

Position Requirements:

Competencies

  • Highly self-motivated and directed.
  • Demonstrates effective prioritization and decision-making in high-pressure environments.
  • Capable of handling diverse situations, multiple projects, and rapidly changing priorities.
  • Possesses strong presentation and interpersonal skills, influencing others with empathy and political acumen.
  • Maintains a professional manner with tact, diplomacy, and discretion when dealing with colleagues and the public.
  • Possesses creative problem-solving abilities and exercises sound professional judgment, especially in handling confidential/sensitive matters.
  • Displays a strong student-centric orientation.
  • Maintains flexibility and willingness to work outside regular business hours to meet organizational needs.

Education and Experience:

  • A Doctorate/Ph.D. in Data Analytics, Data Science, Computer Science, Statistics, Applied Mathematics, Quantitative Analysis, Information Technology, or a related field.
  • Preferred teaching experience in topics: Data Analytics, Data Science with Python, Data Science with R, Data Management & SQL, quantitative analysis, statistics, and Data Visualization.
  • Strong industry experience, expertise and hands-on experience in data analytics, data mining, machine learning, and statistical analysis.
  • Previous teaching experience at the graduate level is a plus.

This position offers an exciting opportunity for a skilled individual to contribute within a globally recognized and fast-evolving educational network. If you meet these qualifications and are eager to make an impact in a vibrant and challenging setting, we encourage you to apply by emailing jobs@unfc.com.

Diversity and Inclusivity Statement

University of Niagara Falls, Canada (UNF) is strongly committed to equity, diversity, and inclusivity within its community and especially welcomes applications from racialized persons / persons of color, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

University of Niagara Falls, Canada recognizes 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.

If you require any accommodations at any point during the application and hiring process, please contact jobs@unfc.com