JOE Listings (Job Openings for Economists)

August 1, 2017 - January 31, 2018

Boston University

This listing is inactive.
Information Systems
Professor Position in Data Science/Analytics

JOE ID Number: 2017-02_111458392
Date Posted: 09/20/2017
Date Inactive: 01/31/2018
Position Title/Short Description
Title: Professor Position in Data Science/Analytics
Section: US: Full-Time Academic (Permanent, Tenure Track or Tenured)
Location: Boston, Massachusetts, UNITED STATES
JEL Classification: 00 -- Default: Any Field
Keywords:
Analytic
Science
Boston University
Professor
Salary Range: Salary is competitive and commensurate with experience.
Full Text of JOE Listing:

The Questrom School of Business at Boston University anticipates three openings for faculty with an established reputation as an empirical data scientist. The search includes both tenure track professors across the levels of assistant, associate, and full and also clinical associate or full professors on the non-tenure track. Pending Provost budgetary approval, the anticipated start date for these three faculty positions is July 1, 2018.

The Questrom School of Business is building a strong group of faculty with expertise in all aspects of data science and analytics. Multiple hires represent a strategic focus for the School and are intended to fuel cross-departmental program and research initiatives in analytics and data science. To strengthen Questrom’s Institutes, at least one position will focus on health analytics and one on analytics supporting digital innovation.

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.

Interested candidates are encouraged to send application details to mktjobs@bu.edu and include the following:

• A cover letter stating interest and qualification
• A curriculum vitae
• Three letters of recommendation
• Research and teaching statements
• Representative publications
• Statement of where you saw this notice (conference name, website, colleague, etc.)

Applications will be accepted until December 15, 2017 but will be reviewed on an ongoing basis as they arrive. We will begin interviewing in early September for a July 1, 2018 start.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Application Requirements:
  • Application Instructions Below
Application deadline: 12/15/2017
Application Instructions:
Interested candidates are encouraged to send application details to mktjobs@bu.edu and include the following:

• A cover letter stating interest and qualification
• A curriculum vitae
• Three letters of recommendation
• Research and teaching statements
• Representative publications
• Statement of where you saw this notice (conference name, website, colleague, etc.)