Chatham University welcomes applications for the position of Assistant Professor of Data Science.
Chatham currently offers a BS in Applied Data Science Analytics and minors in Applied Data Science Analytics and Applied Machine learning.
The successful candidate for this position will teach courses that support these programs, contribute to potential future curriculum development related to data science and business analytics, work with faculty from other areas of the university to explore data science applications, and mentor students.
Chatham University strives to promote a campus environment that understands and embraces multiculturalism while increasing individuals' intercultural competence. We actively work to build and sustain a diverse and culturally vibrant campus, which promotes employee and student success and retention. Learn more at: https://www.chatham.edu/mission-and-values/diversity-and-inclusion/index.html.
This nine-month position requires research and teaching related to data analytics, participation in curriculum development, advising students, and University service. In addition, the faculty member in this position will be expected to develop relationships with industry partners to provide experiential learning opportunities for Chatham students. Renewal and promotion follow Chatham standards for tenure track faculty.
Responsibilities & Duties:
Teach 18 credits per academic year in courses such as Fundamentals of Data Science, Business Analytics, Data Visualization and Communication, Computer Programming I & II, Artificial Intelligence and Machine Learning, and Data Science Ethics.
Participate in curriculum development related to data science.
Serve as an academic advisor to students.
Engage in scholarly endeavors.
Engage in service to the University, to the discipline, and to the broader community.
Develop relationships with industry partners to provide experiential learning opportunities for Chatham students.
PhD or other doctoral degree in a relevant field including, but not limited to, data science, business analytics, statistics, machine learning, and engineering. ABD candidates with anticipated Ph.D./D.B.A. completion by August 2024 will be considered.
Ability to teach courses in programming, data modeling, data visualization, and machine learning using industry-standard programming languages Python and R.
Practical experience with data analytics outside of academia.
Ability to teach course modules covering no- or low-code tools such as Tableau or PowerBI.
Commitment to contributing to an inclusive and equitable campus community.
Experience working with faculty, staff and students with diverse backgrounds, identities, and perspectives.
Experience teaching Python or R, preferably in a higher-education institution.
Experience teaching data science subjects, preferably in a higher-education institution.
Potential for collaborative interdisciplinary work using data analytics to solve problems in a range of fields.
Chatham is committed to developing an inclusive campus community and encourage applications by members of historically underrepresented groups. Application materials should detail how your teaching and professional practice have supported the success of first-generation students and students from racial, ethnic, and gender backgrounds who are underrepresented.
To ensure full consideration, applications should include all of the following:
Cover letter addressing your qualifications for the position
Teaching, research, and diversity statements
Contact information for three professional references.
All application materials should be uploaded at the same time at the time of application. The system will not allow applicants to make edits to their applications after submission.
Chatham University is an Equal Opportunity Employer with a strong commitment to diversity, inclusion, and equity. Persons of color, women, veterans, individuals with disabilities, and members of other underrepresented groups are highly encouraged to apply. Chatham University does not discriminate on the basis of race, color, religion, gender, gender identity, gender expression, sexual orientation, age, or national origin.