Data Science Program Teaching Associate Professor - 12 MONTH

Closing Date

09/14/2026

Faculty - Non-Tenure

No

Annual Appointment (Fixed Term)

N/A

No

University of Arkansas, Fayetteville

Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations.

The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.

As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.

Karl Schubert Reports

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The Data Science Program Teaching Associate Professor is a 12-month 100% appointed, non-tenure track position that provides instruction and assists with the development of course materials for the undergraduate and future graduate Data Science Program and undergraduate and future graduate Data Science Program course sequence, supports academic advising to undergraduate and graduate data science students, supports summer orientation for future graduate data science students, and serves on college and university committees as appropriate.

Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.

• Ph.D. or similar terminal degree in Data Science, Data Analytics, or closely related fields (e. g., computer science, statistics, operations research, industrial engineering) from an accredited institution of higher education; conferred by the start of employment
• Demonstrated effective experience as a teacher for undergraduate and graduate data science, data analytics, or closely related fields courses at the third-year and fourth-year levels
• Experience with programming in Python, R, and SQL
• Experience working on multi-disciplinary teams

• A record of sustained excellence in teaching and scholarship
• Recognition for teaching excellence at a regional or national level

• Ability to display a commitment to undergraduate and graduate data science students in developing their academic skills, especially upper-level students
• Ability and interest in developing graduate level course work in data science

Commensurate with education and experience

• Cover Letter/Letter of Application
• Curriculum Vitae
• List of three Professional References (name, email, business title)

• Proof of Veteran Status

Karl Schubert, Director of Data Science, schubert

Criminal Background Check, Sex Offender Registry. The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening.

Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all.

The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any…