Faculty of Practice, Data Science

John Carroll University • University Heights, OH

1d

About The Position

The Faculty of Practice, Data Science will play a critical leadership role in developing and growing the Data Science and Analytics curriculum and improving student outcomes. The position teaches 12 credits per semester, approximately four undergraduate courses. Courses may include lower-level subjects such as introductory statistics with R, intermediate statistics with SPSS, and database systems with SQL, as well as upper-level subjects such as data mining, big data and cloud computing, machine learning, and agentic development.

The successful candidate will assist in crafting and implementing a vision for the Data Science and Analytics program, serve as the key industry liaison to facilitate student internships and career opportunities, mentor and advise students pursuing data science and analytics careers, and contribute to departmental and university service, including cross-university data initiatives.

Requirements

• A master’s degree in a related field or sufficient professional experience related to data science.
• Knowledge of, or experience with, content covered in upper-level courses for the data science major.
• Interest and enthusiasm in working with undergraduate students in a liberal arts environment.
• Familiarity with evidence-based instructional practices.

Nice To Haves

• A doctoral degree in a related field.
• Evidence of effective teaching, training, or mentoring at the college level or in a professional setting.

Responsibilities

• Teach 12 credits (roughly four undergraduate courses) per semester, potentially covering lower-level and upper-level data science and analytics subjects.
• Assist with crafting and implementing a vision for the Data Science and Analytics program.
• Serve as the key industry liaison, facilitating internships and career opportunities for students.
• Mentor and advise students pursuing careers in data science and analytics.
• Contribute to departmental and university service, including participating in cross-university data initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level