Assistant Professor - Data Analytics (Academic Year Tenure Track)

Ferris State University•Big Rapids, MI

13d•$100,000 - $105,000•Onsite

About The Position

The Marketing Department in the College of Business at Ferris State University seeks a full-time, tenure-track faculty member in Data Analytics. The position teaches undergraduate and graduate courses in Data Science & Analytics, including courses in the Business Data Analytics BS, Data Science and Analytics BS, and MS in Data Science & Analytics programs. Teaching topics include statistics, applied statistical methods, calculus, programming, machine learning, visual data analytics, and data mining tools and methods. The faculty member develops and delivers hands-on experiential learning across online, mixed-delivery, and face-to-face platforms; assesses student learning; and engages in scholarly and professional development. Additional responsibilities include student advising, orientation and registration, committee service, curriculum development, program assessment, recruitment and outreach, maintaining office hours and academic records, and supporting student success and enrollment and retention initiatives. The role may also involve coordinating electives, contributing to new degree programs, liaising with professional organizations, and advising the Data Analytics Association. Courses are taught in person at a Ferris State University campus or approved site, with teaching potentially also occurring online or off campus. The selected candidate must reside in Michigan after accepting employment and be authorized to work in the United States without employer sponsorship. The position reports to the Department Chair or Director and the Dean. The anticipated start date is no later than August 2027.

Requirements

Ph.D. in statistics, applied statistics, data mining, data analytics, business data analytics, big data, data science, machine learning, artificial intelligence, or a closely related field.
Experience teaching statistics, data mining, data analytics, data science, machine learning, artificial intelligence, or a related field at the college or university level in face-to-face, mixed-delivery, or online environments.
Industry, consulting, or research experience in statistics, data mining, data analytics, data science, and/or big data.
Demonstrated research and publication background.
Ability to work independently and collaboratively, with effective written and oral communication skills.
Ability to teach a range of courses across the relevant data analytics and data science programs.
Knowledge of Excel statistical functions and pivot tables; IBM-SPSS Modeler, SAS Enterprise Miner, or other data mining and analytics software; IBM-SPSS Statistics, SAS, or Minitab; SQL, Tableau, and Power BI; and Python.
Demonstrated experience working successfully with people from diverse cultural, educational, socioeconomic, and life backgrounds.
Must reside in Michigan after accepting employment.
Must be authorized to work in the United States at the time of hire without employer assistance or sponsorship, now or in the future.

Nice To Haves

In-field industry experience with leadership involvement, or equivalent teaching experience with consulting or research involvement in statistics, data mining, data analytics, data science, machine learning, artificial intelligence, big data, or a closely related field.
Experience teaching statistics or related technical subjects face-to-face, blended, or online in a technology-enhanced environment.
Experience with R and/or SAS for statistics.
Experience in data mining/analysis, big data analysis, or econometrics.

Responsibilities

Teach full-time during the academic year, including a selection of undergraduate and graduate Data Science & Analytics courses.
Teach topics including statistics, applied statistical methods, calculus, programming, machine learning, visual data analytics, and data mining methods and tools.
Develop and deliver hands-on experiential curriculum activities across online, mixed-delivery, and face-to-face platforms.
Assess student learning and participate in scholarly and professional development activities.
Advise students and support student orientation, registration, and academic success.
Recruit students through events including Dawg Days, Admitted Student Days, high-school and career-tech-center visits, and other outreach events; some events occur on Saturdays.
Serve on program, college, and university committees and represent programs as needed.
Collaborate with faculty on curriculum development, assessment, quality assurance, and new curricular initiatives.
Teach and coordinate elective courses in areas of expertise and contribute to the design and implementation of undergraduate and graduate degrees.
Maintain records and conduct assessment and advising in accordance with university policies and procedures.
Act as a liaison between the program and professional organizations through individual involvement and, potentially, as a program-appointed representative.
Support students, student organizations, and student competitions inside and outside the classroom.
Remain current in the profession and maintain regularly posted office hours.
Support university enrollment and retention initiatives and carry out duties in accordance with university policies and applicable laws.
Maintain confidentiality and cultivate an environment of belonging that respects and supports individual differences.
Perform other duties assigned within the position classification area.