Job Description

Department Information
The School of Data Science and Analytics offers a wide range of educational courses and programs focused on applied statistics, analytics, and data science including general education courses, an undergraduate minor, an undergraduate major, a master's degree, and a PhD in Data Science and Analytics. Faculty in the School currently conduct collaborative, interdisciplinary research in biostatistics, process improvement, survey methodology, sports analytics, psychometrics, education, and various areas of applied data science. Industry, government, and organizations partner with us to find solutions to their data-centric problems through the Center for Data Science and Analytics (CDSA) and the Human Studies Lab, two of the most successful and dynamic research units at the university. There are opportunities to support the School services and programs through CDSA.

Job Summary
Kennesaw State University is now accepting applications for multiple full-time, tenure track faculty positions as Assistant Professor of Data Science and Analytics in the School of Data Science and Analytics with a preferred start date of January 2025. This is a nine-month contracted position. This position is for work to be performed in the state of Georgia.

Responsibilities
Teaching undergraduate and graduate courses in the area of applied statistics, analytics, and data science
Service to the School, College, and University appropriate for the position.
Active scholarship activities consistent with an R2 institution (such as, but not limited to publications in journals, patents, successful external grant funding, etc.)
Teaching assignments will be based on earned degrees and SACSCOC Faculty Credentials Guidelines.


Required Qualifications
A Terminal/Doctorate degree, or the foreign equivalent, in Data Science, Data Engineering, Analytics, Statistics, Biostatistics, or a related discipline, is required.
For ABDs, required degree must be earned by start date.
Proficient in at least one analytical programming languages (e.g., R, Python, SAS).
Evidence of and/or potential for scholarship and/or creative activities.

Preferred Qualifications
Evidence of and/or potential to teach undergraduate and/or graduate courses in statistics, analytics, data science, machine learning, AI, or closely related field. Candidates able to teach machine learning and AI are especially desired.
Evidence of and/or potential to work and teach in an interdisciplinary, collaborative setting using various computational platforms, including cloud platforms, (such as consulting center rotation, collaboration in an applied setting, industry experience, etc.)
Familiarity with ethical and responsible data science and computing principles and practices

Required Documents to Attach
CV
Cover Letter (limit 2 pages)
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
Statement of Teaching experience and philosophy (limit 2-3 pages)
Statement of Research experience, interests, and future plans (limit 2-3 pages)
Incomplete applications will not be considered.