Saint Joseph's University-posted about 16 hours ago
0
Part-time
Philadelphia, PA
1,001-5,000 employees

Saint Joseph’s University’s Department of Decision and System Sciences is seeking highly qualified adjunct faculty to teach a variety of courses each semester, particularly in areas related to business intelligence, analytics, data science, AI, machine learning, supply chain management, and related fields. Saint Josephs University’s Department of Decision and System Sciences has an ongoing need for highly qualified adjunct faculty to staff a variety of courses each semester. Decision and System Sciences is seeking qualified candidates with a demonstrated interest in areas associated with business intelligence & analytics: decision support systems, database, data mining, AI/Machine Learning, data wrangling, data visualization, Python and/or R programming, supply chain management modeling, cyber analytics, statistics and/or business analytics. Experience using data analytics application software is highly desirable. Professionals with experience in the above will be given preference. Part-time adjunct faculty may instruct 1 or 2 courses each semester on an “as needed” basis. Courses available for adjunct staffing are offered during the day and also in the evening. Courses available for adjunct staffing may include: Business Statistics, Business Analytics, Database, Data Wrangling and Visualization, Data Mining, Machine Learning, Supply Chain Management, etc. More information about the department is available at: https://www.sju.edu/departments/dss

  • Use established course content and materials to teach course(s) either on campus or online (course masters must be adhered to)
  • Prepare course materials
  • Participate in Assurance of Learning activities, and provide support and guidance to students.
  • Cooperating with course coordinators or other program faculty to assure quality and consistency across the program.
  • Master’s Degree with demonstrated teaching or industry experience involving Statistics, Data Analytics, Operations Management, AI/Machine Learning, Supply Chain Management/Modeling, Cyber, and/or Information Systems.
  • Candidates who have prior teaching experience and who indicate a willingness to be flexible in class scheduling.
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