The Questrom School of Business is building a strong group of faculty with expertise in all aspects of data analytics. Key hires in this area in recent years represent a strategic focus for the school. Our world-class faculty conduct interdisciplinary research at the intersection of Information Systems, Economics, and Machine Learning. Our faculty include global experts in the areas of fintech, digital healthcare, online reputation systems, platform economics, and social media, among others. Questrom is regularly ranked among the top global institutions for research output, and eleven Questrom faculty (five in IS) have recently been named among the top 2% of all scientists globally for citation impact. The strengths of the Questrom School in analytics along with its diverse and outstanding student body has led to the MSBA program being ranked in the top-10 in the USA. Thus this position presents an exciting opportunity to teach advanced analytics in a business context.

Required Skills:

Candidates with an MS in information systems, operations research, computer science, engineering, applied math or statistics are encouraged to apply, although a PhD in these fields is desirable. Considerable technical industry experience will be considered in lieu of a doctorate credential. Candidates should have strong communication skills. At the minimum, candidates should be able to demonstrate experience in teaching and excellent presentation skills. Prior experience in teaching courses at the undergraduate or graduate level is highly desirable. Experience in applied machine learning techniques and ability to work with large datasets leveraging latest technologies are required. Ability to teach them in a hands-on manner to students (including novices) using Python and other appropriate technologies with the help of applied, industry examples is essential.

The Questrom School of Business believes that the cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our research and academic programs. To that end, we are especially eager to have colleagues join our ranks who support our institutional commitment to ensuring BU is inclusive, equitable, diverse, and a place where all constituents can thrive. The Questrom School of Business seeks to continue diversifying our faculty, student and staff ranks, recognizing that diversity of experience and thought deepens the intellectual endeavor. The Questrom School of Business offers generous research and teaching support. The salary is competitive and commensurate with experience.

DO NOT APPLY THROUGH THE BOSTON UNIVERSITY HR WEBSITE.

In your application, please include (1) cover letter (2) CV (3) programming sample or reference to one on e.g. github (4) teaching evaluations or equivalent content demonstrating teaching ability (5) 2-3 references. Please contact our department administrators with any questions regarding the position or application process through email at qstacademicsupport@bu.edu.

Application Deadline: For full consideration apply by Nov 21, 2022. We will accept applications until the position is filled. Please note all newly hired staff and faculty will need to be in compliance with Boston University’s COVID-19 Vaccination and Booster Requirement within 30 days of date of hire. You must upload your vaccine documentation or request a medical or religious exemption (instructions). For further information on the University’s response to COVID-19, please visit the COVID-19 Resources site. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Job Location Boston, United States Position Type Full-Time/Regular Salary Grade Based on experience