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.
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.
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.
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.