Saint Peter’s University is committed to helping students achieve success not only with their academics, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education.


  • Teaching graduate students in a specific field of expertise on a full time basis in the following areas:
  • Big Data and Data Management
  • Data Mining
  • Machine Learning
  • Data Visualization
  • Predictive Analytics and Financial Modeling
  • Knowledge of Python, Tableau, IBM Watson, Excel preferred
  • Supervision of Capstone Consulting Engagement
  • Actively engage students though frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning
  • Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations.
  • Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments.
  • Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program.
  • Provide feedback to your program director on possible curricular improvements.
  • Developing and managing the class syllabus and ensuring that the syllabus meets department and college standards
  • Planning and creating lectures, for both online and in-class discussions and assignments
  • Grading assigned papers, quizzes and exams
  • Assessing grades for students based on participation, performance in class, assignments and examinations
  • Advising students on how to be successful in class and in the career field
  • Staying updated on innovations and changes within their course field

Required Education and Experience:

  • Ph.D. degree is required, in a field related to Data Science/Business Analytics, from an accredited institution of higher learning.
  • Professional experience in industry.
  • Higher Education teaching experience preferred, in varied formats, face-to-face/online/hybrid formats.