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Data Science Instructor Jobs in Massachusetts (NOW HIRING)

Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach ...

School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in ...

Summer Instructor

Worcester, MA · On-site

$2.5K - $6.0K/wk

JOB TITLE Summer Instructor LOCATION Worcester DEPARTMENT NAME Pre-Collegiate Outreach Programs ... We offer STEM programs such as biomedical engineering, computer science, data science, mechanical ...

... adjunct instructor for the 2026 fall semester to teach an in-person course for the Bachelor of ... Architecture and Design, Computing and Data Science, Engineering, Management, and Sciences and ...

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Data Science Instructor information

See Massachusetts salary details

$14.7K

$64.1K

$109.8K

How much do data science instructor jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science instructor in Massachusetts is $64,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $73,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data science instructors and how can they be addressed?

Data Science Instructors often encounter challenges such as keeping up with rapidly evolving technologies and catering to students with varying skill levels. Staying current requires ongoing professional development and participation in industry forums or training. To address different learning paces, successful instructors design a range of assignments and provide individualized feedback. Collaborating with other instructors and participating in curriculum development also helps create a supportive teaching environment and enhances student success.

What are the key skills and qualifications needed to thrive as a data science instructor?

To thrive as a Data Science Instructor, you need a strong background in data science concepts, programming (often Python or R), machine learning, and statistical analysis, typically backed by a relevant degree or industry experience. Familiarity with tools such as Jupyter Notebooks, Tableau, and Git, as well as certifications like Google Data Analytics or AWS Certified Data Analytics, is highly valued. Excellent communication, mentorship, and presentation skills help make complex topics accessible and engaging. These skills ensure instructors can effectively convey up-to-date industry knowledge, support diverse learners, and foster strong educational outcomes.

What is a data science instructor?

A Data Science Instructor is responsible for teaching data science concepts, tools, and techniques to students or professionals. They design curriculum, develop learning materials, and provide hands-on training in areas such as machine learning, statistical analysis, and data visualization. Instructors may work for universities, bootcamps, or online platforms, and they often guide students with real-world projects and practical applications. Strong communication skills and industry experience are essential for effectively conveying complex topics.

What are the most commonly searched types of Data Science Instructor jobs in Massachusetts? The most popular types of Data Science Instructor jobs in Massachusetts are:
What are popular job titles related to Data Science Instructor jobs in Massachusetts? For Data Science Instructor jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Data Science Instructor jobs? Cities in Massachusetts with the most Data Science Instructor job openings:
Infographic showing various Data Science Instructor job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,123 per year, or $30.8 per hour.

Tutor - Master's in Data Science (Temporary)

Boston College

Chestnut Hill, MA • On-site

Temporary

Posted 8 days ago


Boston College rating

8.7

Company rating: 8.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

55th of 616 rated colleges and universities


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. 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:
Fall semester: (late-Augustthrough mid-December)

Introduction to Human-Centered Data Science
Python Programming for Data Science
Database Systems and Data Preparation
Applied Machine Learning & AI

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

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

Applied Math for Data Science
General Linear Models
Deep Learning & AI
Capstone in Applied Data Science I

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

Data Visualization & Storytelling
Multivariate Statistical Analysis
Natural Language Processing
Capstone in Applied Data Science II

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 MESA Department Admin Bella Otoka isabella.otoka@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 23.00/hr, with the exception of PhD students and holders who are eligible for a higher rate at 33.00/hr.


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