Summer Math & Stats Lab Tutor (Student)
About The Position
Quantitative Support is seeking American University students to join our tutoring team for the summer 2026 semester. Tutoring positions will start the week of May 11 and continue through August 14, 2026. Positions are for a semester. Tutors will provide quantitative tutoring and/or statistical software support to their peers. The types of tutoring positions available are as follows: Mathematics tutoring positions focus on assistance to students taking MATH-155 through MATH-222. Applicants to work in these positions must have successfully completed a minimum of three semesters of calculus. Statistics tutoring positions focus on assistance to students taking STAT-160 – STAT-302/320. Applicants to work in these positions must have completed at least two statistics courses (STAT-202 and an intermediate-level course). Online Statistical Software Support: Candidates for software support positions should be proficient in using one or more of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch. In addition to focusing on the above courses, the Quantitative Tutoring Lab supports DATA-412/612. Some candidates may be qualified to tutor in mathematics, statistics, data science, and statistical software support.
Requirements
- Enrolled in a mathematics, statistics, data science, or other quantitative-related course during the fall 2026 semester.
- Strong academic achievement in relevant coursework and/or statistical software.
- Experience in collaborating well with peers and a passion for helping them succeed.
- A faculty letter of recommendation.
Responsibilities
- Arrive on time for shifts.
- Greet students warmly upon arrival at the Tutoring Lab or at the beginning of an Online Statistical Software Support session.
- For in-person tutoring: assist AU students in understanding quantitative concepts, applying those concepts in their coursework, and preparing for related exams. Additionally, tutors should remind students to use the Lab check-in/out program and to submit a tutoring evaluation.
- For Statistical Software Support: guide students in using the above AU-supported statistical software and interpreting results from those platforms. Moreover, online tutors should remind students to submit a tutoring evaluation.
- Arrange shift coverage in cases of anticipated lateness or absence.
- Submit biweekly timesheets in a timely manner.
- Promote the Quantitative Tutoring Lab and Online Statistical Software Support at University events during shifts.
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
