Data Science Adjuncts
- Employer
- Saint Peter's University
- Location
- New Jersey, United States
- Salary
- Salary Not Specified
- Posted Date
- Feb 28, 2023
View more
- Position Type
- Faculty Positions, Education, Instructional Technology & Design, Science, Technology & Mathematics, Computer Sciences & Technology, Other Science & Technology, Statistics, Administrative, Academic Affairs, Curriculum & Instructional Development
- Employment Level
- Non-Tenured Track
- Employment Type
- Full Time
Saint Peter's University, founded in 1872, is a Jesuit, Catholic, coeducational, liberal arts University located in Jersey City, New Jersey.
Saint Peter's University seeks to develop the whole person in preparation for a lifetime of learning, leadership, and service in a diverse and global society.
Committed to academic excellence and individual attention, Saint Peter's University provides education, informed by values, primarily in degree-granting programs in the arts, science, and business, to resident and commuting students from a variety of backgrounds.
Saint Peter’s University is an Equal Opportunity/Affirmative Action Institution with a strong commitment to diversity. Saint Peter’s University desires to ensure that faculty, students and staff members from underrepresented and marginalized populations are an integral part of the life and governance of the institution.
For more information about Saint Peter's University, please visit www.saintpeters.edu.
Named #1 in the nation for transformation in 2018 by the American Council on Education/Fidelity Investments
Posting Details
Position Information
Job Title
Data Science Adjuncts
Campus
Department
Computer & Information Science
Full Time, Part Time, Adjunct
Classification Title
Job Duties
Rank
Adjunct Lecturer
Tenure Information
Non-Tenure Track
Duties and Responsibilities
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 and SAS
• Tableau, IBM Watson and Excel preferred
• Supervision of Capstone Consulting Engagement
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.
About Saint Peter's
Licenses (if applicable)
Working Conditions
Physical requirements
Posting Detail Information
Posting Number
F18P
Open Date
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
To apply, email your resume and cover letter to hrdept@saintpeters.edu with the subject: Adjunct Professor – Master of Science in Data Science.
Quick Link
https://saintpeters.peopleadmin.com/postings/793
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