Assistant Professor of Data Analytics

Denison University: Data Analytics

Location

Granville, OH

Open Date

Jun 28, 2022

Description

The Data Analytics Program at Denison University invites applications for a tenure track faculty position at the rank of Assistant Professor beginning in Fall 2023. Our program at Denison is an interdisciplinary major training students to answer questions with data. Our students develop models using current statistical and computational methods to analyze and predict outcomes across a range of liberal arts disciplines. The program prepares students to be creative problem-solvers by emphasizing hands-on, experiential modes of teaching and learning through a broad array of liberal arts tools. For more information about Denison University's Data Analytics program, please visit https://denison.edu/academics/data-analytics. Candidates in all social science or closely related fields are welcome to apply; we are particularly interested in scholars who emphasize data analytics questions in their discipline and with demonstrated expertise in using and/or teaching data analytics skills. Denison affirms its commitment to being an antiracist, diverse living, learning, and working community as essential to its educational mission. One of the ways Denison University is committed to facilitating the inclusion and success of groups traditionally underrepresented in higher education is by increasing faculty diversity. Individuals who identify as underrepresented in data intensive disciplines are especially encouraged to apply.

Candidates will have a Ph.D. in the social sciences or a closely related field by the start date (ABD will be considered as an Instructor until a Ph.D. is obtained); a significant formal education in Data Analytics or related fields; and a research program that significantly emphasizes data analytics questions in their discipline. We seek candidates with skills and demonstrated research expertise in data analytics as used in the social sciences. Examples could include but are not limited to statistical modeling, time-series analysis, and econometric modeling (especially advanced regression). The successful candidate will join an existing group of interdisciplinary faculty to continue to grow and develop the Data Analytics major within our liberal arts curriculum. The candidate will also be expected to contribute to quantitative social science research within the major and ideally the broader Denison community.

Candidates must demonstrate potential for successful teaching at the undergraduate level and a strong commitment to pedagogical and curricular innovation within a liberal arts environment. We are seeking energetic self-starters who have a passion for bridging traditional disciplinary boundaries and an interest in linking the classroom to the wider faculty and community. Teaching responsibilities will include core courses across all levels of the Data Analytics major (course details can be found at https://denison.edu/academics/data-analytics/courses). As data analytics is an interdisciplinary program, all of its majors choose a domain area in which to develop disciplinary knowledge in addition to the core Data Analytics skills. Faculty have the opportunity to design and to teach courses in their data analytic specialty and to engage creatively with students across a range of backgrounds, skill levels, and academic & career interests. The typical teaching load at Denison is 5 courses per year.

The Denison faculty is a community of teacher-scholars. Therefore, candidates must be active scholars with a clearly articulated, productive research program related to Data Analytics that is able to accommodate undergraduate research and flourish in a liberal arts environment. Denison hosts a vibrant and well-funded undergraduate research program and offers competitive professional development funds and a pre-tenure research leave following a successful third-year review. Faculty are also expected to contribute actively to the continued growth of the program and the college.

Denison University is a diverse, highly selective, residential liberal arts college enrolling approximately 2,300 students from across the nation and around the world. We emphasize building a supportive environment so that every student has the opportunity to succeed. We are located thirty miles from Columbus, Ohio, the state capital, which hosts many cultural and artistic opportunities.

Qualifications

The successful candidate will have:

Expert knowledge of one or more programming languages, including the ability to teach using R or Python
Experience and ability to conduct quantitative research in the social sciences
Demonstrated potential to teach novice to advanced level undergraduate courses effectively
Experience or interest in pursuing active learning and project-based learning pedagogies
Strong communication, organization, and team collaboration skills
Ability to contribute in meaningful ways to the university's continuing commitment to diversity and inclusive pedagogy
PhD in a relevant discipline by start date is required. (ABD will be considered as an Instructor until PhD is attained.)
PhD in the social sciences, applied statistics, or a closely related field preferred, with quantitative research or work experience in the social sciences

Application Instructions

To apply, please submit

CV
Cover letter - speaking to the areas mentioned above
Transcript - transcripts of graduate work (unofficial acceptable for applications)
Teaching statement - a statement on your teaching philosophy, experience and effectiveness, including how you will engage with and foster diversity on campus
Teaching portfolio - evidence of teaching potential, including teaching materials
Student evaluations
Writing sample - a recent article-length example of your data analytics related research
Research statement - a statement on your current and future research program
3 confidential letters of recommendation or evaluation, of which at least 2 must address teaching potential

Applications received by October 7, 2022 will receive full consideration, but we may continue to consider applications until the position is filled.

Application Process

This institution 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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