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. Graduate assistants for the data science program are expected to help their assigned faculty member with classroom support, labs, office hours, grading, meetings, and other duties as assigned. Graduate assistants are expected to attend and review all materials prior to class, and help the instructor as needed. Graduate assistants will be assigned office hours and are expected to be available during those designated times in order to help students as needed. The Graduate Assistant is expected to grade in accordance with the DASC assignment policy, submit and return graded work in a timely manner, answer student queries with regards to grades, and help the instructor maintain the course Blackboard page. Flexibility in academic course scheduling is required and is dependent on the faculty member in which you are supporting within the data science program.
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Career Level
Entry Level
Number of Employees
1-10 employees