Part-Time Faculty of Business Analytics - BAT 3302-1 - Data Science

Trinity University is seeking a Part-Time Faculty for the Fall 2026 semester to teach the following course(s), Typical responsibilities of part-time faculty members include but are not limited to:

• Developing the course syllabus and ensuring that the syllabus meets departmental and University standards
• Designing and delivering lectures, discussions, in-class activities, and assignments focused on the storage, retrieval, and analysis of data sets. This course places strong emphasis on data wrangling using Python and the practical application of specialized software, computational techniques, and algorithms to real-world business and analytical scenarios. The ideal candidate combines academic grounding in data science methods with hands-on industry experience applying these tools to solve practical problems.
• Grading assigned papers, quizzes, and exams
• Assigning early, midterm, and final grades in compliance with University deadlines
• Maintaining office hours as directed by the department chair or program director
• Making student accommodations as determined by the Office of Student Accessibility Services
• Adhering to all instructional policies as published in the Faculty Handbook and the Courses of Study Bulletin, In the “Application Documents” field, please upload the following four files, each as a separate pdf file [note: a maximum of five (5) files can be uploaded]

• Master’s degree in Data Science, Business Analytics, Computer Science, Statistics, or a closely related field

Preferred:

• Ph.D. in Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or a closely related field

EXPERIENCE

Required:

• Professional or applied experience in data analysis, data wrangling, or working with large data sets
• Proficiency in Python

Preferred:

• Prior university-level teaching experience, particularly in analytics or data science courses
• Evidence of impactful teaching practice demonstrated through submission of sample teaching materials and student evaluations.
• Industry experience applying data science techniques to business decision-making
• Familiarity with data visualization tools and learning management systems (e.g., Canvas, Blackboard), * Mastery of the relevant subject matter
• Ability to deliver engaging lectures, discussions, or in-class activities
• Ability to design rigorous and meaningful assignments
• Commitment to the liberal arts mission of Trinity University