Assistant Professor of Data Science
Position: Assistant Professor of Data Science Location: Wheaton, IL
Job Id: 421 # of Openings: 1 Qualifications:Candidates must possess a Ph.D. in statistics, biostatistics, data science, or a closely-related discipline. Candidates must demonstrate a commitment to excellence in undergraduate teaching and liberal arts education with an intentionally Christian perspective. Applicants are sought with specialties in all areas but especially in machine learning and modern methods of data science. The ideal candidate will have a personal scholarly agenda with which he or she can promote undergraduate research while mentoring students in spiritual and personal growth. Responsibilities:Responsibilities will include teaching the equivalent of a full six-course load per year. The equivalent load may consist of lab supervision duties or some mentored research seminars. The candidate for this position will help develop curriculum for Wheaton’s new Data Science and Statistics Major/Minor and will teach courses primarily in the fields of statistics and data science. General faculty responsibilities include student advising and department and committee assignments. WHEATON COLLEGE is an evangelical Protestant Christian liberal arts college whose faculty and staff affirm a Statement of Faith and adhere to lifestyle expectations of the Wheaton College Community Covenant. Wheaton is an equal opportunity employer committed to recruiting and retaining a diverse and talented workforce and student body. We encourage the expression of multiple perspectives within a Christian worldview, inside and outside the classroom. For more information about Wheaton College visit www.wheaton.edu. Additionally, Wheaton College aspires to provide a physically safe environment for students, staff, and faculty to learn and work. In support of this objective, the College requires background checks for final candidates, after an employment offer is extended. Employment is contingent upon successful completion of a background check.