Career Opportunities

Faculty/Instructional

Lecturer - Data Science


Posting Date

12/18/2018 12:00:00 AM

Position Information

Working Title:  Lecturer - Data Science
UW System Title:  Lecturer
Start Date:  August 19, 2019

Essential Job Functions

The Austin E. Cofrin School of Business at the University of Wisconsin-Green Bay seeks applicants for a Lecturer position in Data Science and Business Analytics. Candidates with experience teaching at the university level or in professional courses, who have knowledge of the Python and SQL programming languages, and statistical software such as R will be given preference. In addition, applicants with the ability to collaborate on practitioner-orientated and/or pedagogical research projects are encouraged to apply.

This position includes the following responsibilities:

  • Teach a normal course load of graduate and undergraduate courses in Data Science and Business Analytics. Courses will be taught both face-to-face and online. Courses may include strategic information systems; system analysis and design; programming; databases; information visualization; statistical analysis; forecasting; social network analysis; and text mining.
  • Advise students.
  • Perform institutional and community service.
  • Perform scholarly and professional activities consistent with the faculty classification of Scholarly Practitioner under AACSB accreditation efforts.

In addition, the successful candidate will be expected to display a demonstrated potential for excellence in teaching and services and a commitment to graduate and undergraduate education. Additionally, the candidate should possess communication and interpersonal skills sufficient to work effectively with a diverse array of students and colleagues.

Qualifications

MINIMUM QUALIFICATIONS:

  • Master’s degree and 60 months of work experience in relevant fields.
  • Evidence of engagement in professional service endeavors.
  • A willingness to engage with the business community.

The successful candidate will have strong oral, written, interpersonal, and organizational skills, the ability to communicate with a diverse student population, demonstrated integrity and strong leadership, and the willingness to be part of a collaborative team. The University welcomes applicants who are dedicated to enriching the quality of life for students and the community by embracing the educational value of diversity, promoting environmental sustainability, encouraging engaged citizenship, and serving as an intellectual, cultural, and economic resource.

Conditions of Appointment

Position is a full-time, academic year, Instructional Academic Staff appointment.  Official transcripts of the highest degree achieved will be required of finalist(s). A criminal conviction investigation will be conducted on the finalist(s). In compliance with the Wisconsin Fair Employment Act, the University does not discriminate on the basis of arrest or conviction record.

All final candidates must be asked, prior to hire, whether they have been found to have engaged in, are currently under investigation for, or left employment during an active investigation in which they were accused of sexual violence or sexual harassment. When obtaining employment reference checks, these same sexual violence or sexual harassment questions must also be asked.

Salary

Competitive salary commensurate with qualifications and experience.

This position is exempt from the overtime provisions of the Fair Labor Standards Act (FLSA).

BENEFIT DETAILS
The UW System provides an excellent benefits package, including participation in the Wisconsin State Retirement System.

To Apply

STEP 1: Please select the applicable link below:

External Applicants: (NOT currently employed by the University of Wisconsin System)
Internal Applicants: (Currently employed by the University of Wisconsin System)

STEP 2: From "Job Search" screen,

  • Click "View All Jobs"
  • Select "Lecturer - Data Science"
    • You must login before you can apply. Input your "User Name" and "Password" and select "Sign In."
    • If you have not yet registered, click "Register Now" to begin the registration process.
 

STEP 3: Submit application materials:

Please be sure to complete all required fields, and include all required documents before submitting your application. Once submitted, you will not be able to edit or attach any application materials. Files must be complete to be considered. Please include the following documents:

  • Cover letter that specifically addresses qualifications for the essential job functions
  • Curriculum Vitae
  • Names and contact information for three references
  • Unofficial transcripts of all graduate work
  • Course evaluations (if available)

You must select "Submit" to forward your application materials to the search committee.

If you have any questions, need accommodations, or submitted your application with missing materials, call or email:

Kelly Anklam
Phone: (920) 465-2006
Email:  aecsb@uwgb.edu

Application Deadline

To ensure consideration, please submit application materials by Thursday, January 17, 2019.

Note: The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis.Stat. sec. 19.36(7).

For more information regarding the University of Wisconsin-Green Bay and the surrounding area, see our Campus and Community section. For Campus Safety information see our Office of Public Safety website and our Annual Security Report (for a paper copy please contact the Office of Human Resources at (920) 465-2390). This report includes statistics about reported crimes, as well as information about crime prevention and campus security policies and procedures.

The University of Wisconsin-Green Bay is an Affirmative Action Equal Employment Opportunity employer committed to achieving a diverse workforce and to maintaining a community which welcomes and values a climate supporting equal opportunity and difference among its members. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender and/or gender identity or expression, marital or parental status, genetic information, national origin, ethnicity, citizenship status, veteran or military status (including disabled veteran, recently separated veteran, other protected veteran, or Armed Forces service medal veteran status), age, or disability.