Tutor - Master's in Data Science (Temporary)

Tutor - Master's in Data Science (Temporary)

Company:

Boston College

Job Location:

Chestnut Hill, Massachusetts

Category:

Tutors and Learning Resources

Type:

Adjunct/Part-Time

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. HigherEd360 is part of the HigherEdJobs network.