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Data Science Teaching Assistant Jobs (NOW HIRING)

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

Essential Job Duties The successful candidate(s) will teach undergraduate and/or graduate courses in Data Science according to the Data Science and AI Academy's needs and the applicant's knowledge ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

Essential Job Duties The successful candidate(s) will teach undergraduate and/or graduate courses in Data Science according to the Data Science and AI Academy's needs and the applicant's knowledge ...

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

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Data Science Teaching Assistant jobs near you
Infographic showing various Data Science Teaching Assistant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Teaching Assistant (TAs), Health Data Science

Dartmouth College

Hanover, NH • On-site

Temporary

Re-posted 15 days ago

Dartmouth College rating

8.7

Company rating: 8.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

54th of 619 rated colleges and universities

Job description

Position Details
Position Information
Position Title
Teaching Assistant (TAs), Health Data Science
Position Number
0000000
Hiring Range Minimum
$200/week
Hiring Range Maximum
$200/week
Location of Position
Remote
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Position Purpose
To work closely with Supervising Faculty and staff to ensure effective delivery of curriculum by supporting presentations, discussion groups, student evaluations and student feedback.
Required Qualifications
  • Demonstrated knowledge of specific course content through satisfactory completion of course or equivalent course work or experience.
  • Bachelor's degree.

Preferred Qualifications
  • Master's degree in subject relevant to course.
  • Previous experience in teaching, assistant teaching, or tutoring.
  • Excellent interpersonal and communication skills, including listening skills.
  • Consistently maintains a positive, patient, and encouraging attitude with students.
  • Ability to provide tactful oral and written feedback.
  • Ability to explain concepts and facilitate small group discussions.
  • Proficiency with Microsoft Office software, specifically Word, Excel, and PowerPoint.
  • Ability to demonstrate specific course-related software features for students, which may • include Canvas, Zoom, Stata, RevMan, or EndNote.
  • Ability to maintain confidentiality.
  • Attention to detail.
  • Commitment to diversity and to serving the needs of a diverse population.

FLSA
Non-Exempt
Employment Category
Temporary Part time
Schedule
Looking for TA support for our Summer & Fall courses.
We are hiring for 4 week courses and 8 weeks courses.
This role will work up to 12 hours in one week.
Department Contact for Recruitment Inquiries
Andrea Wright
Department Contact Phone Number
Andrea.L.Wright@dartmouth.edu
Department Contact for Cover Letter
Monica Espinoza, Program Director
Contact's Phone Number
Equal Opportunity Employer
Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.
Background Check
Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
Special Instructions to Applicants
This job posting is not accepting external applications at this time.
Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. https://policies.dartmouth.edu/policy/tobacco-free-policy
Additional Instructions
We review applications on a rolling basis for this position and will hire multiple applicants into this role; we encourage applicants to apply throughout the year.
Quick Link
https://searchjobs.dartmouth.edu/postings/83833
Key Accountabilities
Key Accountabilities
  • Works closely with course faculty and program staff to develop and evaluate assignments and associated homework. 20%
  • Conducts and facilitates group discussions by encouraging critical analysis and evidence-based dialogue. 5%
  • Provides students assistance through tutoring and coaching. 10%
  • Assists course faculty with evaluating students' work (e.g., offering feedback and assigning grades), including individual and group assignments, examinations, participation, and attendance. 40%
  • Attends course sessions and assists instructor in class management (e.g., dividing class into appropriate groupings, facilitating discussions among students, answering students' questions, etc.). 15%
  • May co-teach some sessions as appropriate. 5%
  • Supports class and classroom logistics. 5%

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Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.
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Performs other duties as assigned.

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