Successful candidates may have a disciplinary association with Marketing, Information Systems, Operations & Technology Management or Business Economics. Foundational training in these core business disciplines or in statistics, computer science, psychology or policy is welcome. A PhD in one of these areas is essential to signal a deep understanding of the power of analytics and experimentation using large data sets.  Experience as a practicing data scientist working with companies is a plus for the Clinical track.

We seek outstanding candidates who would be comfortable in, stimulated by, and engaged with the vibrant cross-disciplinary community that is data science. Prospective candidates must have demonstrated the ability to produce original and innovative scholarly work of the highest possible quality with impact in the top academic journals. Special consideration will be given to applicants who have demonstrated intellectual and institutional leadership, successful mentoring of doctoral students (as relevant for tenure track), strong teaching at the graduate and undergraduate levels, and evidence of curricular leadership. Candidates will be expected to teach a variety of undergraduate and graduate courses in analytics and contribute to cross-disciplinary curriculum development activities. Salary is competitive and commensurate with experience.