Tutor - Master''s in Data Science (Temporary)

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

Tutor - Master''s in Data Science (Temporary)

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 (a) approach data science with a human-centered mindset, which will prepare graduates to place people and society at the forefront; (b) instill in students the importance of ethical and responsible data use; and (c) ensure that equity and the minimization of biases are at the center of their training in data science, from data collection, processing, storage, to modeling, presentation, and interpretation.

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. Please note that the stated hours per week represent the maximum number of hours permitted for this role, and additional hours will not be available.

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:

Spring 2027 semester: (beginning of January through mid-May)

Applied Math for Data Science

General Linear Models

Deep Learning & AI

Capstone in Applied Data Science I

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

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

Data Visualization & Storytelling

Multivariate Statistical Analysis

Natural Language Processing

Capstone in Applied Data Science II

Fall semester: (late-August through mid-December)

Introduction to Human-Centered Data Science

Python Programming for Data Science

Database Systems and Data Preparation

Applied Machine Learning & AI

The Tutor role will include the following requirements:

• 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 1 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 like Slack, depending on the course) within 1 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

In consultation with your Faculty Instructor, your Tutor role may also include the following 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 Director of Data Science and Assistant Professor of the Practice Emma Klugman emma.klugman@bc.edu to request specific course descriptions, or for any questions about the hiring process.

To apply for this position, please submit:

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.

Notes:

This is a non-benefited position, hours and shifts may vary. The hourly rate for this temporary position is expected to be $24.00/hr, with the exception of PhD students and holders who are eligible for a higher rate at $33.00/hr.

Requirements

• Strong Python skills are required.
• Academic background/coursetaking in data science and related fields are required.
• Prior teaching experience in data science, computer science, or statistics are strongly preferred.
• Excellent organizational, communication, and time management skills are required.
• Work experience in data science or related fields are helpful but not required.
• Strong communication skills in written and spoken English are required.

Closing Statement

Boston College conducts pre-employment background checks as part of the hiring process.

Boston College is an Equal Opportunity Employer and does not discriminate on the basis of any legally protected category, including disability and protected veteran status. Boston College's Notice of Nondiscrimination can be viewed at https://www.bc.edu/nondiscrimination.