TEACHING TRACK POSITION IN BUSINESS ANALYTICS

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a passionate educator for a teaching-track position in Business Analytics. This full-time role offers the opportunity to shape future leaders through innovative teaching methods. Candidates will engage with diverse programs, including MBA and undergraduate courses, while fostering a commitment to teaching excellence. The position emphasizes a blend of analytics methodology with business applications, making it ideal for those eager to make a significant impact in the academic landscape. Join a prestigious institution renowned for its analytical approach and commitment to educational excellence.

Qualifications

• Ph.D. in a related discipline required.
• Prior teaching experience is mandatory.

Responsibilities

• Teach courses across various educational programs.
• Contribute to educational and service initiatives.

Skills

Teaching Excellence

Data Science

Machine Learning

Operations Research

Statistics

Industrial Engineering

Computer Science

Economics

Information Systems

Education

Ph.D. in Business Analytics or related field

Job description

TEACHING TRACK POSITION IN BUSINESS ANALYTICS

Carnegie Mellon University: Tepper School of Business

Location

Pittsburgh, PA

Open Date

Mar 07, 2025

Description

The Tepper School of Business at Carnegie Mellon University invites applicants for a teaching-track position in Business Analytics to begin in fall 2025. The teaching track at Carnegie Mellon is a full-time faculty position subject to a tri-annual review and promotion process, and has assistant, associate, and full teaching professor ranks. All levels will be considered for this position, but we particularly seek applicants at the assistant or associate professor level. Prior teaching experience is required for this position. While teaching track faculty can pursue research activities, they are neither required nor expected to do so; their evaluation is based on teaching, educational, and service contributions.

Qualifications

Applicants should have completed a Ph.D. in a discipline related to Business Analytics, including data science, machine learning, operations research, statistics, industrial engineering, computer science, economics, or information systems. The ideal candidate has the ability to bridge analytics methodology and business applications in fields such as finance, marketing, or operations. Teaching assignments may span all our educational programs including the MBA, MS in Business Analytics, MS in Management, MS in Product Management, and Undergraduate Business programs. Candidates must demonstrate a potential for and commitment to teaching excellence.

Institution

The Tepper School of Business at Carnegie Mellon consistently ranks among the top business schools in the world at both the graduate and undergraduate levels. The school has a rich history of quantitative decision making and analytical approaches to problem solving and is renowned for its research and educational contributions in areas related to Business Analytics. The educational mission of the school combines analytics with business, technology, and leadership. We believe that the Intelligent Future is powered by data and reimagined by humans. For more information about programs at the Tepper School of Business at Carnegie Mellon, please visit www.tepper.cmu.edu . For more information about Carnegie Mellon University, please visit www.cmu.edu

Application Instructions

Candidates should submit a cover letter, curriculum vitae, teaching statement (including previous teaching evaluations if available), between one and three course syllabi, up to three publications or working papers (optionally), and three recommendation letters via Interfolio, http://apply.interfolio.com/164644. Applications will be considered on a rolling basis until the position is filled. Priority consideration will be given to candidates submitting, completed applications, including supporting materials and reference letters, by April 4, 2025.

If you have any questions, please contact Phil Conley, Faculty Search Coordinator, at [e-mail] or 412-268-6212.

Helping all candidates find great careers is our goal. The information you provide here is secure and confidential.

We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.