Math & Stats Lab Tutor (Student) (FWS)

American University•Washington, DC

1d•$18 - $23•Hybrid

About The Position

Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community. This position is available only to enrolled American University students. Most student positions at American University are eligible to use Federal Work Study (FWS) awards, with a few exceptions. FWS funds cannot be applied to janitorial, construction, partisan or sectarian positions. For information or questions regarding FWS funds, please contact American University's Office of Financial Aid. Important guidance for current American University employees: American University current employees, including those employed in student positions, must apply through their employee Workday account. If you are a current employee at American University, please log into your employee Workday account and select the Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process. Summary: Quantitative Support is seeking American University students to join our tutoring team for the fall 2026 semester. Tutoring positions will start the week of September 7 and continue through December 11, 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.
Student must have an active Federal Work Study (FWS) award.
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.
During fall semesters, tutors typically work a set schedule of between two and fifteen hours per week, depending on their availability and the needs of students and Quantitative Support.
Tutoring positions are open to both undergraduate, graduate, and PhD students.
We welcome applications from students who have strong quantitative skills and/or statistical software proficiency, and who enjoy helping their peers succeed academically.
This position is available only to enrolled American University students.

Nice To Haves

Successfully completed a minimum of three semesters of calculus (for Math tutoring).
Completed at least two statistics courses (STAT-202 and an intermediate-level course) (for Stats tutoring).
Proficient in using one or more of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch (for Software Support).

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, in-person 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.