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Data Science Teaching Assistant Jobs in Madison, WI

... data science, data engineering and decision science to provide winning actionable insights ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

... data science, data engineering and decision science to provide winning actionable insights ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

Teaching Assistant Professor Job Summary: The Department of Industrial and Systems Engineering at ... people, data, and business. The department offers a broad and rigorous curriculum that equips ...

Successful applicants will teach undergraduate and graduate statistics courses, mentor students, conduct scholarly research, publish results in academic journals in statistics, data science, and ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

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Data Science Teaching Assistant information

What are the key skills and qualifications needed to thrive as a Data Science Teaching Assistant, and why are they important?

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 are the most common challenges faced by Data Science Teaching Assistants 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 are Data Science Teaching Assistants?

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 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.

What are popular job titles related to Data Science Teaching Assistant jobs in Madison, WI? For Data Science Teaching Assistant jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Science Teaching Assistant jobs in Madison, WI look for? The top searched job categories for Data Science Teaching Assistant jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Science Teaching Assistant jobs? Cities near Madison, WI with the most Data Science Teaching Assistant job openings:
Infographic showing various Data Science Teaching Assistant job openings in Madison, WI as of June 2026, with employment types broken down into 2% As Needed, 63% Full Time, 32% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution.

PT Instructor Pool - Computer and Data Science

Madison College

Madison, WI โ€ข On-site

Part-time

Posted 3 days ago


Job description

Current Madison College employees must apply to the internal career site by logging into Workday
Job Posting Date:
January 30, 2026
Application Deadline:
Salary Information:
Salary depends upon workload.
Department:
School of STEM_PTF Math,Phys&Earth Sciences
Job Description:
Madison College is recruiting a pool of highly motivated and qualified candidates to teach part time courses for the Computer and Data Sciences Department. Applications will be accepted on a continuous basis for the 2026-2027 academic school year. If you possess the aspiration to help others succeed, this is an opportunity for you to positively impact the community and lives of our students. Madison College is a first-choice institution that offers exceptional educational opportunities to our students providing high-demand skills for professional and academic growth.
Madison College's dedication to promoting equity, inclusion and diversity is reflected in our Mission, Vision, and Values. We believe every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design, and deliver solutions. We value the ability to serve students from a broad range of cultural heritages, socioeconomic backgrounds, genders, abilities, and orientations. Therefore, we seek applicants who demonstrate they understand the benefits of diversity in a higher education community. Hiring a diverse workforce that mirrors our student population is more than just a commitment at Madison College - it is the foundation of what we are striving to do. Come be part of our great team!
Organizational Function and Responsibilities:
This position is responsible for instruction in the Computer and/or Data Sciences courses at the University Transfer level. This includes developing a relevant and progressive curriculum, designing and implementing effective learning strategies and environments, delivering instruction of high quality, assessing student learning, advising students, and participating in college service activities at the department, division and college levels.
This position reports to the Associate Dean - School of Science, Technology, Engineering, and Mathematics.
Essential Duties:
The following duties are typically expected of this position. These are not to be construed as exclusive or all-inclusive. Other duties may be required and assigned.
1. Responsible for facilitating student learning in the Computer and Data Science Department, including but not limited to the following courses: Computer Science 1, Computer Science 2, Introduction to Programming in Python, Data Structures and Algorithms.
2. Develop and plan appropriate instructional strategies and alternative delivery strategies when appropriate including but not limited to hybrid, face-to-face and on-line course delivery.
3. Participate in in-service meetings, staff development training or other activities or programs requested by the Department.
4. Assist and advise students who have problems with assignments, tests, grades, course content, career concerns, and other academic matters.
5. Comply with college policies and directions regarding student testing, record keeping, advanced standing, providing grades on a timely basis, evaluating student performance and maintaining office hours for student assistance and counseling, etc.
6. Maintain competencies as an instructor as aligned with the Faculty Quality Assurance System.
7. Demonstrate a commitment to the college's mission, vision and values.
Knowledge, Skills, and Abilities:
1. Knowledge of current educational methods and strategies, including learner-centered instruction, assessment, evaluation and collaborative techniques and strategies that address closing the gap in student access and achievement across race, gender and disability.
2. Skill in the use of educational technology and alternative delivery methods.
3. Knowledge and ability to infuse multicultural perspectives into course content and delivery.
4. Skill in communications and human relations with populations having diverse socio-economic and racial backgrounds, as well as individuals with disabilities.
Minimum Qualifications:
1. Master's Degree in Computer Science or Data Science OR Master's Degree in a related field with 18 graduate credits in Computer Science or Data Science.
a. Foreign Transcript Evaluation: If using a foreign transcript for qualification, applicant must provide a course-by-course evaluation report to verify foreign transcript credit equivalency. A translation of the transcript will not be sufficient to determine equivalency.
Special Instructions to Applicants:
Madison College utilizes pool postings for all Part-time Instructor positions. This posting is a pool position to collect applications for potential part-time instruction positions. Part-time Instructors are hired on a per course basis each semester, and teaching one semester does not guarantee assignment for the following semester. The teaching hours for a part-time instructor vary and can include day, evening, and weekend classes.
If interested, please complete the required online application and attach a resume, cover letter, and transcripts (unofficial copy). Please note that all transcripts will be checked for verification of accreditation before hire. This pool will close on approximately January 31, 2027. If you are not contacted by this time and you are still interested in employment with Madison College, you will be asked to reapply to a new pool. All communications will be through the email provided on your application materials.
We regard diversity in the workforce as a competitive advantage and strongly support its presence in our educational environment.
If you are experiencing application issues, please contact us at the Talent Acquisition email Talent@madisoncollege.edu or HR hotline (608) 246-6900.
To ensure that emails from us regarding your application do not go to your spam folder, please add the @madisoncollege.edu domain as a safe sender in your email.
Madison Area Technical College does not discriminate on the basis of race, color, national origin, sex, disability or age in employment, admissions or its programs or activities. Madison College offers degrees, diplomas, apprenticeships and certificates in Architecture & Engineering; Arts, Design & Humanities; Business; Construction, Manufacturing & Maintenance; Culinary, Hospitality & Fitness; Education & Social Services; Health Sciences; Information Technology; Law, Protective & Human Services; Science, Math & Natural Resources; and Transportation. Admissions criteria vary by program and are available by calling our Enrollment Office at (608) 246-6210 or (800) 322-6282 Ext. 6210. The following person has been designated to coordinate Title IX of the Education Amendments of 1972 and Section 504 of the Rehabilitation Act of 1973 and to handle inquiries regarding the college's nondiscrimination policies: Lisa Muchka, Director, Civil Rights and Compliance, 1701 Wright Street, Madison, WI 53704 (608) 246.5221