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Distinguished Service Professor of Applied Data Science


Carnegie Mellon University: Heinz College

Location: Pittsburgh, PA
Open Date: Dec 9, 2021

Application Process

CMU is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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Description

The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking qualified candidates for the open position of Distinguished Service Professor of Applied Data Science. We invite academics or professionals with experience applying modern data analytics techniques to real-world problems. This full-time position is a unique opportunity to join one of the most respected research universities in the world. The Heinz College offers a collegial and intellectually stimulating environment at the intersection of people, policy, and technology. We are looking for individual(s) committed to instilling analytical and evidence-based practices to our students at Heinz College and across Carnegie Mellon University.

We prepare students in understanding and leveraging the societal consequences of technological change. We train our students to collect and analyze data in pursuit of positive transformation. We teach a set of data governance and analytical skills with a focus on the effectiveness, equity, and integrity in the decision process and its ramifications. Armed with this unique set of skills, Heinz College graduates are in great demand across all sectors of the economy.

Heinz College adheres to four basic principles of being grounded in real-world problem solving; staying ahead of the curve in innovation; nurturing diversity; and developing compassionate leaders. The College, since its founding in 1968 as the School of Urban and Public Affairs, has had a long history of commitment to diversity, equity, and inclusion, made ever more relevant in today’s world of technology-driven social change.

The Position

The role of Distinguished Service Professor of Applied Data Science is essential in preparing our students to lead through intelligent decision making and action.

This position will be responsible for developing and delivering classes and experiential learning opportunities in data science for CMU master’s students as well as select undergraduate students. In addition to teaching, we expect the candidate to play an active role in advising students, supporting curricular advancement, and directing projects, clubs, and competitions.

Specifically, we are looking for candidates with a strong background in the application of analytics. Someone with an understanding of current data science techniques and tools, rooted in ethical data science practices. We are especially interested in candidates who share a passion for data-informed management for social good and an understanding of risks, trade-offs, and implications. In addition, we are seeking a candidate who reaffirms our values of diversity, equity and inclusion, and who exemplifies that in their teaching, research, and interactions with colleagues, students, and staff.

The desired set of skills include:

  • Ability to develop and deliver relevant coursework in multiple aspects of the data analytics domain
  • Ability to identify, stage, and oversee analytics projects with significant student and partner interaction
  • Culturally responsive interpersonal and communication skills
  • Strong project management and client management skills
  • Experience working with large datasets and complex problems in high impact organizations
  • Domain expertise in one or more of the programmatic areas of Heinz College (Technology, Security, Policy, Healthcare, Arts & Entertainment) preferred
  • Demonstrated commitment to diversity, equity, and inclusion
  • Background in teaching or working in/with academia highly preferred

The Distinguished Service Professor at Carnegie Mellon is a career-oriented, non-tenure, faculty track with renewable fixed terms reviewed every three years. There is an expectation that this person will serve on committees alongside other faculty at the College and University levels. This position is ideal for candidates who love to teach and mentor students. This position has a fall 2022 anticipated start date.

Qualifications

We welcome applications with a Ph.D. in Computer Science, Information Systems, or a closely related field as well as from individuals who have built their experience in industry or professional careers. “ABD” candidates nearing completion of their degrees may be considered. Willingness to work collaboratively with staff & faculty and to mentor students from a wide range of disciplines, cultures and academic backgrounds is essential.

Application Instructions

A complete application packet will include the following: cover letter; Curriculum Vitae; a statement of teaching philosophy; a diversity statement; contact information for three or more references; and any additional supporting documentation which may include evidence of teaching effectiveness and/or representative of scholarly work.

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Equal Employment Opportunity Statement
Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.