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Data Science Teaching Assistant Jobs in Massachusetts

Teaching Assistant

Waltham, MA · On-site

$15 - $19.25/hr

Join Our AoPS Academy as a Teaching Assistant! Are you enthusiastic about supporting student ... We offer a world-class curriculum in math, science, and language arts for students in grades 1-12 ...

Teaching Assistant

Watertown, MA · On-site

$15.25 - $19.25/hr

Join us as a Teaching Assistant at one of our three schools, where you'll have a direct impact on ... Collect and accurately document student performance data using program-specific logs and data ...

... * Assist with substantive regulatory analysis in areas including sanctions, anti-bribery and ... Data Science & Analytics: * Develop and execute data analytics workflows for compliance monitoring ...

New

Brandeis University EDUCATION PROGRAM seeks to hire a part-time Tech Assistant to support the instructor for the online seminar ED 259, Using Data to Drive School Change in the Teacher Leader ...

Staff Data Scientist

Westwood, MA · On-site

$170 - $220/hr

The Opportunity Data science isn't a feature on this team. It's the foundation, and you'll be the ... You can defend your methodology and teach it to a room that isn't quantitative. * The ability to ...

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Data Science Reports To: Emily Strong - Senior Manager, Data Science Location: Watertown, MA ... of the solution. * Assist with support and maintenance for existing models in production.

Showing results 21-40

Data Science Teaching Assistant information

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or teaching experience. Gaining familiarity with tools such as Jupyter notebooks and SQL can enhance qualifications.

What are popular job titles related to Data Science Teaching Assistant jobs in Massachusetts?

For Data Science Teaching Assistant jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Science Teaching Assistant jobs in Massachusetts look for?

The top searched job categories for Data Science Teaching Assistant jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Teaching Assistant jobs?

Cities in Massachusetts with the most Data Science Teaching Assistant job openings:

Infographic showing various Data Science Teaching Assistant job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Tutor - Master's in Data Science (Temporary)

Boston College

Chestnut Hill, MA

Temporary

Re-posted 6 days ago


Boston College rating

8.7

Company rating: 8.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

60th of 629 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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