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Assistant Professor of Data Science
1 month ago
Assistant Professor of Data Science
Division:
Academic Affairs
Department/Office:
Data Science
Advertisement:
The
Data Science Program of the School of Arts, Humanities, and Sciences
at
St. Catherine University
invites applications for a full-time, 9-month non-tenure track Assistant Teaching Professor of Data Science position. This position is grant funded.
The undergraduate college at St. Catherine University (St. Kate's) is one of only six US institutions that is both a women's college and a minority serving institution. Based in the Twin Cities of St. Paul and Minneapolis, Minnesota, St. Kate's is home to a diverse group of around 3,500 students in varying disciplines and degree levels. The Data Science Program requires a full-time teaching faculty with a non-tenure track that is experienced in teaching Data Science, Applied Computing for Data Science, Artificial Intelligence (AI), Machine Learning, and Distributed Computing courses as well as Computer Science courses as needed for a diverse population. The primary appointment is for the Data Science Bachelor's of Science (BS) major and minor degrees. This position will support the students pursuing major in Data Science.
We seek applicants who are excited about growing the program to reach more students.
Responsibilities Include:
- Collaborates with colleagues to drive the development of course content and student. assessments that reflect best practice in equity-based learning and accreditation objectives.
- Teach undergraduate level data science and/or computer science courses and additional courses (as needed).
- Teach the equivalent of six courses during the academic year (typically three in Fall and three in Spring term) with the option to teach in January and Summer sessions.
- Communicate respectfully and build relationships of trust with people of all cultures and abilities, affirming the worth and preserving the dignity of individuals, families, and communities.
- Independently advises students.
- Communicate frequently with the department leaders and/or coordinators for updates or changing course information.
- Engage in service to the Data Science program, the University and the data science profession by participation/leadership in standing/ad hoc committees, and/or other service opportunities
in the University and in the data science practice community.
enrolls students
in certificate, associate, baccalaureate, master's and doctoral programs in traditional day and evening/weekend/online formats.
Minimum Qualifications:
- Earned Doctorate in Data Science, Computer Science, Computer Engineering or related discipline. All But Dissertation (ABD) applicants will be accepted, but doctorate must be awarded on transcript prior to the start date of the position.
- 1-2 years experience in teaching, student advising, and curriculum development.
- Experience in teaching Data Science or Computer Science courses such as Python Programming, Machine Learning, Data Mining, and other related courses.
- Advanced level experience with Python, R, or other Data Science software tools.
- Strong interpersonal skills and the ability to effectively communicate with a wide range of individual of constituencies in a diverse community.
- Ability to define problems, collect data, establish facts, and draw valid conclusions.
- Strong analytical and critical thinking skills.
- Demonstrated writing skills.
- Experience with the online delivery of education and the systems that support it.
- Excellent interpersonal and verbal/written communication skills.
- Excellent organizational and communication skills.
- Skill in using or eagerness to learn to use multiple technologies to teach and communicate with students (learning management systems, etc.).
Application instructions:
Posting Number:
FAC
Posting Start Date:
08/01/2024
Application Deadline:
9/6/2024
To apply, visit
St. Catherine University is an equal opportunity employer. Our commitment to inclusion reflects the central value of the Sisters of St. Joseph of Carondelet to "love of neighbor without distinction" and provides a learning and working environment that is enriched by the diversity of all our members. Individuals of religious, racial, ethnic, gender identity, nation of origin, or disability groups that have traditionally had less representation in higher education are encouraged to apply. Should you need an interview accommodation please contact us at or
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