Adjunct of Data Science
: Job Details :

Job DetailsJob Location Jersey City, NJ Education Level Graduate Degree DescriptionAbout Saint Peter's University Saint Peter's is one of 27 Jesuit colleges and universities in the United States. Established in 1872, the University blends a unique learning experience shaped by rigorous academics, internships that provide real-world experience, community service, and a genuine, caring community that supports alumni long after graduation. Saint Peter's offers more than 50 undergraduate majors as well as master's level and doctorate programs 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. Duties: Teaching graduate students in a specific field of expertise on a part-time basis in the following areas: • Big Data and Data Management • Data Mining • Machine Learning • Data Visualization • SQL • Predictive Analytics and Financial Modeling • Knowledge of Python andSAS • Tableau,IBMWatson and Excel preferred • Supervision of Capstone Consulting Engagement Rate Range: $750 - $1,000 per credit hour Qualifications Qualification Standards: • 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 chair 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 • Staying updated on innovations and changes within their course field Education: A terminal degree (i.e. PhD,DBA, etc.) is preferred from an accredited institution of higher learning, related to Data Science/Business Analytics, and a Master's is required. Experience: Professional experience in industry. Higher Education teaching experience preferred.