Job Number: JR102189
Job Posting:
JR102189 Senior Lecturer of Data Science (Open)
Department:
Accounting & Mgmt Info Systems , JM
Position Type:
Non-Regular Fixed Term (Fixed Term)
Open Date:
[contact details available in the full listing]
Close Date:
The College of Business at Coppin State University invites applications for a Senior Lecturer (Non-Tenure Track) in Data Science. The successful candidate will teach undergraduate Data Science and Decision Science courses, mentor students, and support curriculum development. The ideal candidate will have industry experience and a strong network of industry partners to facilitate internships, experiential learning, and career opportunities for students. The candidate should be committed to student success and to preparing graduates with the technical and professional skills needed for careers in data science. The candidate must engage in scholarly research and support service to the departmental college, and university committees. This is a 10-month position beginning in January 2027. The College of Business is accredited by ACBSP.
Responsibilities:
EDUCATION
BENEFITS SUMMARY
Contractual employees are eligible for limited benefits. Please see the link below to view the benefits that Coppin State University has to offer.
https://www.coppin.edu/benefits
E-VERIFY STATEMENT
This agency participates in the E-Verify system for verification of citizenship and employment authorization.
Coppin State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, ethnicity, national origin, ancestry, religion, gender, sexual orientation, gender identity, genetic information, marital status, pregnancy, age, disability status or veteran status. View the EEOC Know Your Rights poster for more information regarding your rights under the law.
If you experience difficulties utilizing the online application system or you require reasonable accommodations during any part of the pre-employment process, please contact Human Resources at [contact details available in the full listing]. Please note that only inquiries regarding a request for reasonable accommodation or system issues will be responded to when contacting this e-mail account. Reasonable accommodation will be considered on a case-by-case basis.
Job Posting:
JR102189 Senior Lecturer of Data Science (Open)
Department:
Accounting & Mgmt Info Systems , JM
Position Type:
Non-Regular Fixed Term (Fixed Term)
Open Date:
[contact details available in the full listing]
Close Date:
- [contact details available in the full listing]
- $75,000.00 Annually
The College of Business at Coppin State University invites applications for a Senior Lecturer (Non-Tenure Track) in Data Science. The successful candidate will teach undergraduate Data Science and Decision Science courses, mentor students, and support curriculum development. The ideal candidate will have industry experience and a strong network of industry partners to facilitate internships, experiential learning, and career opportunities for students. The candidate should be committed to student success and to preparing graduates with the technical and professional skills needed for careers in data science. The candidate must engage in scholarly research and support service to the departmental college, and university committees. This is a 10-month position beginning in January 2027. The College of Business is accredited by ACBSP.
Responsibilities:
- Teach 12 credit hours of undergraduate courses day or evening and/or online courses using effective, student-centered instructional practices.
- Advise and mentor students, supervise internships and experiential learning, and support student success and career readiness.
- Develop, revise, and assess curriculum to ensure alignment with current industry trends and workforce needs.
- Build and maintain partnerships with industry leaders to expand internships, employer engagement, guest speakers, and career opportunities for students.
- Engage in scholarly research and grant writing.
- Participate in department, college, and university service activities, including meetings, committees, accreditation, and other assigned responsibilities.
EDUCATION
- MS or PhD in data science, analytics, artificial intelligence, machine learning, business intelligence, or related fields.
- Academic experience or three years industry experience is preferred.
- The successful candidate should have experience building and maintaining partnerships with industry leaders, employers, government agencies, and community organizations to expand internships, support industry-sponsored projects, enhance experiential learning, organize guest speakers, and improve student career outcomes.
- Knowledge of data science, analytics, artificial intelligence, machine learning, business intelligence, or related fields.
- Knowledge of Python, R, Power BI, Tableau, Microsoft Access, and related software.
- Knowledge of LMS, online platforms and technology.
BENEFITS SUMMARY
Contractual employees are eligible for limited benefits. Please see the link below to view the benefits that Coppin State University has to offer.
https://www.coppin.edu/benefits
E-VERIFY STATEMENT
This agency participates in the E-Verify system for verification of citizenship and employment authorization.
Coppin State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, ethnicity, national origin, ancestry, religion, gender, sexual orientation, gender identity, genetic information, marital status, pregnancy, age, disability status or veteran status. View the EEOC Know Your Rights poster for more information regarding your rights under the law.
If you experience difficulties utilizing the online application system or you require reasonable accommodations during any part of the pre-employment process, please contact Human Resources at [contact details available in the full listing]. Please note that only inquiries regarding a request for reasonable accommodation or system issues will be responded to when contacting this e-mail account. Reasonable accommodation will be considered on a case-by-case basis.
