Assistant Professor of Data Science or Statistics

Job Description

• Teach a variety of data science and statistics courses primarily in an in-person format.
• Instruct courses in varied locations, at varied times, and via various media commensurate with department and university needs.
• Engage in scholarly research or creative achievement to enhance knowledge of data science or statistics.
• Provide evidence of continuing preparation and study in the field to enhance teaching abilities.
• Contribute to student growth and development including student advising.
• Provide service to the university and community including the program, the department, the college, the university, and the greater community.
• Support Winona State University's mission to enhance the intellectual, social, cultural, and economic vitality of the people and communities we serve.
• Teach courses using an innovative and modern curriculum.
• Contribute to the continued improvement of the curriculum in data science and statistics.
• Supervise capstone experiences, e.g. student research projects, internships, etc.
  

Minimum Qualifications

• Ph.D in Data Science, Statistics, or Biostatistics with an anticipated completion date before August 2027.
• Experience teaching an undergraduate data science or statistics course as the primary instructor or as a teaching assistant.
  

Preferred Qualification

• Skills/ability to integrate technology to enhance learning and teaching.
• Demonstrated commitment to quality teaching.
• Demonstrated commitment to fostering a diverse working and learning environment.
• Demonstrated excellence in the teaching of data science or statistics at the undergraduate level as the primary instructor.
• Evidence of a commitment to continually improve the data science or statistics curriculum
• Ability to make connections with industry partners, recruit students, develop workshops, and promote our disciplines to high school students.
• Experience in the applications of data science or statistics.
• Proficiency in a variety of programming languages such as Python, R, and SQL.
• Desire to teach Python programming in our upper-division data science courses.
• Experience with one or more of the following areas: machine learning, consulting, healthcare analytics, or research in the teaching and learning of data science or statistics.
• Evidence of strong communication skills.
• Demonstrated ability to work cooperatively with colleagues.