Professor of Data Science and Analytics

Job Title: Open Rank Professor of Data Science and Analytics

Location: Marietta, Georgia

Regular/Temporary: Regular

Full/Part Time: Full-Time

Job : 294215

For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. A leader in innovative teaching and learning, Kennesaw State is located just north of Atlanta and combines a suburban setting on two metro-Atlanta campuses in Kennesaw and Marietta. As one of Georgia's largest universities, Kennesaw State offers undergraduate and graduate degrees to over 50,000 students.

Our high-impact research and Division I athletics also draw students from throughout the region and across the globe. A member of the University System of Georgia, Kennesaw State is a Carnegie-designated doctoral research institution (R2) committed to becoming a world-class academic institution positioned to broaden its academic and research missions and expand its scope on a local, regional, and national level.

Our university's vibrant culture, career opportunities, rich benefits, and values of respect, integrity, collaboration, inclusivity, and accountability make us an employer of choice. As part of the University System of Georgia, Kennesaw State exemplifies the power and promise of a student-centered, research-driven university. In addition, Kennesaw State supports the University of Georgia's core values of accountability, excellence, integrity, and respect. We are searching for talented people to join Kennesaw State University in our vision.

Kennesaw State is launching a new strategic plan in . For more information, visit the university website.

Our Kennesaw campus is located at 1000 Chastain Road NW, Kennesaw, GA 30144. Our Marietta campus is located at 1100 South Marietta Parkway, Marietta, GA 30060.

The School of Data Science and Analytics (SDSA) is recognized for its interdisciplinary education and research, offering a full spectrum of programs from undergraduate to PhD levels. With faculty leading pioneering research that drives innovation in data science, analytics, and applied statistics, SDSA addresses critical business and societal challenges through robust internal and external partnerships. Our unique combination of academic excellence and applied real-world experience equips students with both the technical and interpersonal skills necessary to thrive in today's data-driven world, making SDSA a hub for impactful education and cooperative problem-solving.

Kennesaw State University is now accepting applications for a full-time, tenure track open rank faculty position as Assistant Professor, Associate Professor or Full Professor of Data Science and Analytics in the School of Data Science and Analytics with a preferred start date of August 2026. This is a nine-month contracted position and is for work to be performed in the state of Georgia.

• 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.

AND

For Associate Professor:

• Have held the rank of Associate Professor at another institution.

For Full Professor:

• Have held the rank of Full Professor at another institution.

• Associate or Full Professor only:
• 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.