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Data Science Teaching Assistant Jobs in Indiana (NOW HIRING)

High School Science Teacher

Modoc, IN · Remote

$46K - $50K/yr

If the current Teaching Certification is from another state, the hire must get reciprocity within ... Student success will be measured by valid and reliable assessment data, parent and student ...

High School Science Teacher

Modoc, IN · Remote

$44K - $57K/yr

If the current Teaching Certification is from another state, the hire must get reciprocity within ... Student success will be measured by valid and reliable assessment data, parent and student ...

Science Teacher

Seymour, IN · On-site

$41K - $53K/yr

Valid Indiana teaching certificate LANGUAGE SKILLS: Ability to read, analyze, and interpret ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

... support to assist our government customer with the collection of Live Imagery Products for ... Science and Technology (S&T) community. Products will support algorithm development on Unmanned ...

Showing results 41-60

Data Science Teaching Assistant information

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 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.

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 coursework in data science or education. Gaining experience through internships, projects, or assisting in courses can improve prospects for this role.

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 job categories do people searching Data Science Teaching Assistant jobs in Indiana look for? The top searched job categories for Data Science Teaching Assistant jobs in Indiana are:
What cities in Indiana are hiring for Data Science Teaching Assistant jobs? Cities in Indiana with the most Data Science Teaching Assistant job openings:
Infographic showing various Data Science Teaching Assistant job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Computer Science Teacher - Decatur Middle School

MSD of Decatur Township

Indianapolis, IN • On-site

$48K - $66K/yr

Full-time

Posted 25 days ago


Job description

Job Description:


Decatur Middle School is seeking a dynamic Introduction to Computer Science teacher who will deliver instruction aligned to Indiana's Course 4565 standards, providing students with foundational knowledge in computer science, including problem-solving, programming, data analysis, networks, and the ethical use of technology. This course is designed to engage all students, regardless of prior experience, in computational thinking and modern technology fluency.


Job Qualifications/Requirements:


Indiana Teaching License (5-12) with at least one of the following:

● Computer Science

● Business Education (with appropriate computer science coursework)

● Technology Education (with demonstrated proficiency in computer science)

● Proficiency in teaching introductory programming languages (such as Python, JavaScript, or Scratch).

● Familiarity with Indiana’s Computer Science Standards.

● Strong classroom management, communication, and instructional planning skills.

● Experience with or willingness to learn PLTW Computer Science Principles or Code.org CS Discoveries is preferred.


Educational Responsibilities:

● Teach the 4565 Introduction to Computer Science course in alignment with IDOE standards.

● Design and implement engaging, standards-based lessons in programming, algorithms, computer systems, and data representation.

● Foster computational thinking and real-world problem-solving skills.

● Integrate project-based learning and hands-on activities using appropriate technology and software tools.

● Promote ethical computing practices and digital citizenship.

● Support all students in meeting learning outcomes, including differentiated instruction and interventions.

● Use formative and summative assessments to inform instruction.

● Maintain accurate records of student progress and communicate effectively with families.

● Contribute to the school and district computer science pathways and support career exploration in tech fields.

● Create a positive, inclusive, and engaging classroom environment that supports a diverse group of learners.

● Differentiate instruction to meet the diverse academic, cultural, and linguistic needs of students.

● Integrate technology, real-world applications, and cultural content into instruction.

● Maintain accurate records of student performance and communicate regularly with families.

● Participate in school-wide professional learning communities (PLCs), staff meetings, and professional development opportunities.

● Collaborate with colleagues to support interdisciplinary learning and school initiatives.

● Develops lesson plans and instructional materials for the subject area, and translates lesson plans into learning experiences to develop pertinent sequential assignments, challenge students, and best utilize the available time for instruction.

● Conducts ongoing assessment of student learning and progress, and modifies instructional methods to fit individual students' needs, including students with special needs; conducts individual and small group instruction as needed.

● Continues to acquire professional knowledge and learn of current developments in the educational field by attending seminars, workshops, or professional meetings, or by conducting research.

● Organizes and maintains a system for accurate and complete record-keeping, grading, and reporting for all student activities, achievement, and attendance as required by district procedures and applicable laws.

● Encourages parental involvement in students' education and ensures effective communication with students and parents.

● Ensures that student conduct conforms to the school's standards and school district policies, and establishes and maintains standards of student behavior needed to achieve a functional learning atmosphere in the classroom.

● Coordinates with other professional staff members, especially within grade level, and participates in faculty meetings and committees.


Additional Duties:

● Performs other related tasks as assigned by the Principal and other central office administrators as designated by the Superintendent.


● Note: The above description is illustrative of tasks and responsibilities. It is not meant to be all-inclusive for every task or responsibility.


Equal Opportunity Employer