Assistant/Associate Professor of Data Science
Canisius University
Buffalo, NY, US
Job highlights
Qualification
A PhD in Data Science or related field is required. The successful candidate should have a strong commitment to excellence in teaching in both our undergraduate Data Science program and our Master’s program in Data Analytics, especially in courses with machine learning and generative AI. The candidate must be fluent in Python and R, and be familiar with SQL, Tableau, standard statistics packages, and at least one cloud-based platform
Responsibility
The faculty member will establish a successful research program involving undergraduate students and advise our graduate students in their internships and capstone projects. The successful candidate will partner with the Canisius Center for Analytics and Data Ecosystems to build connections with regional partners. Position duties include directing the MS-Data Analytics program (https://catalog.canisius.edu/graduate/college-arts-sciences/data-analytics/)
Benefits
Job Description
Description
Assistant/Associate Professor of Data Science The Department of Quantitative Sciences of Canisius University seeks applicants for a tenure-track faculty position in Data Science at the Assistant/Associate Professor level beginning fall 2024. The department consists of the programs in Computer Science, MS-Cybersecurity, MS-Data Analytics, Data Science, Mathematics/Statistics, and Pre-Engineering. A PhD in Data Science or related field is required. The successful candidate should have a strong commitment to excellence in teaching in both our undergraduate Data Science program and our Master’s program in Data Analytics, especially in courses with machine learning and generative AI. Interest in and experience with hybrid and/or online instruction is welcome. The faculty member will establish a successful research program involving undergraduate students and advise our graduate students in their internships and capstone projects. The candidate must be fluent in Python and R, and be familiar with SQL, Tableau, standard statistics packages, and at least one cloud-based platform. The successful candidate will partner with the Canisius Center for Analytics and Data Ecosystems to build connections with regional partners. Position duties include directing the MS-Data Analytics program (https://catalog.canisius.edu/graduate/college-arts-sciences/data-analytics/) A cover letter, curriculum vitae, statement of teaching philosophy, undergraduate research program description, unofficial undergraduate and graduate transcripts, and three letters of reference are required. Candidates must also include a statement outlining their support of the college’s Jesuit mission and a statement demonstrating their approach to diversity, equity, inclusion, justice, and belonging in their role as a college professor. Review of completed applications will begin December 20, 2023. Questions can be directed to Professor Michael Wood, Chair of the Department of Quantitative Science (wood5@canisius.edu). Canisius University, a Catholic and Jesuit institution, is an independent, co-educational, medium-sized institution of higher education located in Buffalo, NY. Canisius University is an Equal Opportunity Employer. Minority candidates are strongly encouraged to apply. The Office of Human Resources at Canisius University utilizes an online recruitment management system. Individuals who need reasonable accommodations under the ADA in order to participate in the search process should contact the office of human resources at (716) 888-2240. To apply online, go to http://careers.canisius.edu/cw/en-us/listing/. Compensation and Benefits: Salary range: $75,000.00 to $99,000.00 annually Please note that the compensation information is a good faith estimate of the base pay for this position. The selected candidate’s actual base pay will be based on job-related, non-discriminatory factors including experience. Information about the total compensation package for this position will be provided during the interview process. Benefits are available the first of the month after the full-time faculty’s date of hire and include – health, dental and vision insurance, life and long-term disability insurance, and retirement plan enrollment is available to full-time faculty with contribution from the University after one year. One year waiting period may be waived provided the person was employed in higher education for at least one-year full time within three years prior to hire date. University contribution would not begin until proof of prior service is received. Tuition benefits are also available for full-time faculty and their qualified dependents.