Note: The job is a remote job and is open to candidates in USA. Franklin University is a private, independent, accredited, not-for-profit university seeking a part-time Adjunct Faculty member to teach a graduate-level Advanced Analytics course online. The role focuses on delivering instruction, supporting and evaluating students, developing course materials and demonstrations, and applying statistical analysis methods and analytical tools such as R and Python.

Responsibilities

• Teaching a graduate-level analytics/statistics course according to the curriculum, content, and outcomes as specified by the Lead Faculty. The class sessions will be held online
• Monitoring and advising students on course-related work, prompt correspondence via email, facilitation of course-related discussions, holding regular office hours and other assigned responsibilities corresponding to the faculty teaching assignment
• Timely assessment and evaluation of student assignments including exams, homework assignments, quizzes, projects, discussions, and other activities related to the course
• Participation in adjunct MATH/DATA faculty meetings/retreats and associated departmental activities as identified by the Lead Faculty for the assigned course, and responding to Lead Faculty’s requests related to course components

Skills

• A doctoral degree in Computer Information Systems, Information Systems, Information Technology, Computer Science, Data Science, Statistics, Mathematics or a closely related discipline is required
• If the degree is in a related field, at least 18 graduate credit hours should be in the aforementioned fields
• At least three years of online teaching experience in higher education
• Be skilled in video conferencing platforms
• Be proficient in online learning management systems
• Have knowledge and experience with several analytics software such as Tableau, R, and Python
• In addition to the educational qualifications, the candidate should possess excellent communication skills, work ethics, and passion to teach Analytics/Statistics to busy working adult students with flexibility and integrity
• A doctoral degree in Engineering, Economics or Business with at least 18 credit hours in the field of Mathematics, Data Science, or Statistics, or doctoral degree in these fields with a graduate certificate in Data Science
• At least 5 years of industry experience with specific projects that are targeting the course outcomes. Candidates with experience in data science, data analytics, data visualization, and machine/statistical learning are preferred
• Any industry certifications in the field of data science or analytics

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