About the position
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:
10-27-2026
Close Date:
11-17-2026
$75,000.00 Annually
Job Description:
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.
Minimum Qualifications:
EDUCATION
- MS or PhD in data science, analytics, artificial intelligence,
machine learning, business intelligence, or related fields.
EXPERIENCE
- 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, SKILLS, AND ABILITIES
- 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.
Additional Job Information:
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
AskHR@coppin.edu. 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.
This listing was collected from a public source and is reproduced here for
information only. Always confirm the details on the original posting before applying.
View the original posting