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Assistant Professor of Computer Science- Data Analytics

Job in Albany, Dougherty County, Georgia, 31701, USA
Listing for: Albany State University
Full Time, Seasonal/Temporary position
Listed on 2026-02-06
Job specializations:
  • Education / Teaching
    University Professor
  • IT/Tech
Job Description & How to Apply Below

Job Title:

Assistant Professor of Computer Science
- Data Analytics

Location:

Albany State Rec. Location

Regular/Temporary:
Regular

Full/Part Time:
Full-Time

Job

About Us

Albany State University is a fully accredited senior unit of the University System of Georgia. Employees receive benefits provided by the University System of Georgia, including, but not limited to, medical and major medical insurance, group life insurance, participation in the Georgia Teachers' Retirement System, Optional Retirement Plan (Faculty and exempt employees only), Social Security and Tuition Assistance Program after six months of employment.

Location

Our West Campus is located at 2400 Gillionville Road, Albany, GA 31707. Our East Campus is located at 504 College Drive, Albany, GA 31705. The Human Resources office for both campuses is located on the West Campus in Building K, Suite 111.

Job Summary

The department of Mathematics, Computer Science, and Information Technology is seeking an Assistant Professor of Computer Science-Data Analytics to join our team. The successful candidate for this role will be responsible for student mentorship, service to the department, and to the community. The individual who will fill this position will teach undergraduate courses with an average teaching load of fifteen (15) credit hours per semester.

Sponsorship is not available for this position.

Responsibilities
  • Teach both introductory and advanced level courses.
  • Prepare and deliver lectures in face-to-face and online environments.
  • Lead and moderate classroom discussions.
  • Administer and grade examinations and other coursework.
  • Additional responsibilities will include advising and mentoring students as well as participating in campus events.
Required Qualifications
  • Master of Science in Data Analytics, Data Science, Statistics, Computer Science, Information Technology, or a closely related field.
  • A strong record of teaching. At least two (2) years of applicable experience in Data Analytics either in the corporate field or academia.
  • Prior teaching, training, or mentoring experience in mathematics, statistics, data science, or related disciplines at the secondary, postsecondary, or professional level.
  • Minimum of 5 years of professional experience or academic experience in data analysis, applied statistics or closely related field.
  • Demonstrated ability to apply advanced quantitative methods, predictive modeling, and data visualization techniques using industry-standard tools (e.g. R, Python, SQL, or equivalent.
  • Evidence of applied research or continuous process improvement projects that resulted in actionable insights or measurable organizational impact.
  • Proven experience designing and implementing complex analytical projects that involve large or multi-source datasets, data cleaning, integration, and statistical modeling.
Preferred Qualifications

PhD in Data Analytics, Data Science, or a closely related field.

Proposed Salary

Salary is commensurate with education and experience.

Required Documents to Attach
  • Cover letter.
  • Resume.
  • Unofficial transcripts.
  • A list of at least 3 professional references with their contact information.
Knowledge, Skills, & Abilities Knowledge
  • Knowledge of curriculum design, assessment, and instructional methods that aid in the student learning process.
  • Knowledge of data analytic concepts and current trends in the field.
Skills
  • Effective classroom management and ability to actively engage students.
  • Collaboration skills that will aid in working effectively with colleagues and interdisciplinary teams.
Abilities
  • Ability to design and deliver high quality instruction for the students in a face-to-face and online environment.
  • Ability to interact with and teach a diverse group of students.
  • Ability to contribute to the department, university, and service projects.
  • Ability to communicate complex technical results clearly to both technical and non-technical audiences and collaborate across disciplines.
Contact Information

For more information or questions about a job posting, please contact the Office of Human Resources at , or by email  technical support, please call the USG Service Desk at , or by email at support.

USG Core Values

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