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Professor of Data Science and Analytics

Job in Kennesaw, Cobb County, Georgia, 30152, USA
Listing for: Kennesaw State University
Full Time position
Listed on 2026-09-03
Job specializations:
  • Education / Teaching
    University Professor, Academic, Data Scientist
  • IT/Tech
    Data Scientist
Job Description & How to Apply Below
Position: Open Rank Professor of Data Science and Analytics

Open Rank Professor Faculty Position of Data Science and Analytics

Kennesaw State University is now accepting applications for a nine-month, tenure track Open Rank Professor Faculty Position of Data Science and Analytics in the School of Data Science and Analytics with a preferred start date of January 2027. Rank is determined at the time of hiring and will be commensurate with credentials.

Teaching:
Instruct a range of graduate and undergraduate courses in data science, analytics, and/or applied statistics, demonstrating a commitment to improve teaching through scholarly approaches. Research:
Engage in active scholarship activities consistent with an R2 institution and appropriate to the rank (such as, but not limited to, peer-reviewed publications, external grant activity and awards, patents and other forms of innovation/technology transfer, etc.) Service:
Provide service to the School, College, University, and Profession appropriate for the position. Teaching assignments will be based on earned degrees and SACSCOC Faculty Credentials Guidelines.

An earned Ph.D. degree, or the foreign equivalent, in Data Science, Analytics, Statistics, Biostatistics, or a related field, is required at the time of hire. For the rank of:
Associate Professor
- Have held the rank of Associate Professor. Full Professor
- Have held the rank of Full Professor.

Evidence of teaching undergraduate and/or graduate courses in statistics, analytics, data science, machine learning, AI, or closely related field. Candidates able to teach ethics and soft skills (such as project management) are especially desired. Evidence of working and teaching in an interdisciplinary, collaborative setting such as cloud platforms, consulting center rotation, applied research teams, industry experience, etc. Evidence of familiarity with ethical and responsible science and/or computing principles and practices.

Evidence of mentoring graduate student research (MS Thesis and/or PhD Dissertation). Prior success in obtaining extramural funding as the leading investigator.

CV Cover Letter Unofficial Transcripts (Official Transcripts and Official International Course-by-Course Evaluations Due Upon Hire) Names, phone numbers, and email addresses of at least 3 references. Teaching Philosophy (limit 2-3 pages) Research Interest (limit 2-3 pages) Incomplete applications will not be considered.

Review of applications will begin immediately. For full consideration, please apply by August 20, 2026.

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