Graduate Assistant - Data Science 9 MONTH

University of Arkansas Fayetteville • Fayetteville, AR

1d • $21,000 - $25,000

About The Position

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. Graduate students are subject to background checks. 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 category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University’s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All Application information is subject to public disclosure under the Arkansas Freedom of Information Act.

Requirements

• Bachelor's degree from an accredited institution of higher education
• Admitted or are currently a student at the University of Arkansas in either the College of Engineering, Sam M. Walton College of Business, or the Fulbright College of Arts and Sciences
• Must be in good academic & judicial standing with the University of Arkansas
• Have programming experience in Python and/or R
• Must have previously completed Calculus I and/or Calculus II or equivalent

Nice To Haves

• Students who have previous teaching or tutoring experience
• Students who have two or more years of programming experience in Python and/or R
• Students who have completed Calculus III, Linear Algebra, 3000-level or higher calculus-based statistics course or equivalent
• Experience with software development version control systems such as GIT and GITHUB

Responsibilities

• help their assigned faculty member with classroom support, labs, office hours, grading, meetings, and other duties as assigned
• attend and review all materials prior to class, and help the instructor as needed
• be available during those designated times in order to help students as needed
• grade in accordance with the DASC assignment policy
• submit and return graded work in a timely manner
• answer student queries with regards to grades
• help the instructor maintain the course Blackboard page

Benefits

• university contributions to health, dental, life and disability insurance
• tuition waivers for employees and their families
• 12 official holidays
• immediate leave accrual
• a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary

What This Job Offers

• Number of Employees: 1-10 employees