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Tutor - Master's in Data Science

Job in Springfield, Hampden County, Massachusetts, 01119, USA
Listing for: Boston College
Full Time, Part Time, Seasonal/Temporary position
Listed on 2026-06-01
Job specializations:
  • Education / Teaching
    University Professor, Academic
Salary/Wage Range or Industry Benchmark: 23 USD Hourly USD 23.00 HOUR
Job Description & How to Apply Below

Boston College Introduction

Founded in 1863, Boston College is a Jesuit, Catholic university located six miles from downtown Boston with an enrollment of 9,654 full-time undergraduates and 5,072 graduate and professional students. Ranked 37 among national universities, Boston College has 923 full-time and 1,336 FTE faculty, 2,822 non-faculty employees, an operating budget of $1.4 billion, and an endowment in excess of $3.9 billion.

Job Description

The online Master’s in Data Science is a 36-credit program housed within the Measurement, Evaluation, Statistics, and Assessment Department at the Lynch School of Education and Human Development. In line with the Jesuit values at the core of Boston College, the program ensures graduates approach data science with a human‑centered mindset, emphasizing ethical and responsible data use and minimizing biases throughout the training.

Tutor

Role

The online M.S. in Data Science program at Boston College is seeking Tutors to support our courses during the upcoming semester. This role is expected to average 10‑15 hours per week across the semester, with a maximum of 170 hours. The Tutor role offers valuable experience in teaching and mentoring at the graduate level in a fast‑growing program. Tutors play a valued role in our program, supporting our students and faculty with excellence and kindness.

Courses

requiring Tutors

Summer semester: (beginning of May through mid‑Aug)

  • Data Visualization & Storytelling
  • Multivariate Statistical Analysis
  • Natural Language Processing

We are also interested in hiring tutors for the following semesters:

Fall semester: (mid‑August through mid‑December)

  • Introduction to Human‑Centered Data Science
  • Applied Math for Data Science
  • Database Systems and Data Preparation
  • Applied Machine Learning & AI

Spring semester: (beginning of January through mid‑May)

  • Python Programming for Data Science
  • General Linear Models
  • Deep Learning & AI
Tutor Responsibilities
  • Support your Faculty Instructor in providing feedback and grades for student work.
  • Be available via email communication with your Faculty Instructor, with responses expected within one business day.
  • Familiarize yourself with all course materials on the course Canvas website.
  • Attend all course synchronous sessions live. If live attendance is not possible, you must notify the Faculty Instructor ahead of time and watch the recordings promptly.
  • Act professionally in all communications with students and with your Faculty Instructor.
  • Respond to student questions via email (or another designated platform such as Slack, depending on the course) within one business day.
  • Alert your Faculty Instructor of any suspicions of academic dishonesty by students.
  • Keep track of your hours worked and share these logs with your Faculty Instructor.
Optional Additional Responsibilities
  • Holding weekly office hours to meet with students (either at a fixed time, by appointment, or both).
  • Participating in weekly online meetings with your Faculty Instructor to discuss course content, logistics, and student feedback.
  • Planning and hosting review sessions for students to reinforce and discuss course materials.
  • Coordinating a mid‑semester survey of student feedback to inform the remainder of the course.
  • Supporting the Faculty Instructor with keeping the course Canvas site up‑to‑date (e.g. fixing mistakes, releasing weekly modules, updating deadlines, sending announcements, etc.).
  • Helping manage course logistics, e.g. tracking student attendance and participation, assignment deadlines, late assignments, student groups for assignments, student illnesses, etc.
Additional Information

Contact MESA Department Admin Bella Otoka ka to request specific course descriptions, or for any questions about the hiring process.

Application Requirements
  • A resume highlighting your technical skills, previous teaching experience (if any), academic background, and any other relevant work experience.
  • A cover letter listing which specific courses you believe you are most suited for and why.
Compensation

This is a non‑benefitted position; hours and shifts may vary. The hourly rate for this temporary position is expected to be $23.00 per hour, with the exception of PhD students and…

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