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Data Science Teaching Assistant Jobs in Colorado

... science, and application specific knowledge. Through analytic modeling, statistical analysis ... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ...

Research and apply knowledge of existing and emerging data science principles, theories, and ... * Assist in the creation and presentation of data insights and recommendations to key ...

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

Required QualificationsBachelor's or Master's degree in Data Science, Computer Science, Statistics ... Experience developing LLM-powered assistants or AI copilots for financial operations or support.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science ... LLM-powered assistants or AI copilots for financial operations or support. • Strong data ...

Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science ... LLM-powered assistants or AI copilots for financial operations or support. • Strong data ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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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 are popular job titles related to Data Science Teaching Assistant jobs in Colorado? For Data Science Teaching Assistant jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Teaching Assistant jobs in Colorado look for? The top searched job categories for Data Science Teaching Assistant jobs in Colorado are:
What cities in Colorado are hiring for Data Science Teaching Assistant jobs? Cities in Colorado with the most Data Science Teaching Assistant job openings:
Infographic showing various Data Science Teaching Assistant job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Visiting Teaching Assistant Professor, Computer Science

University of Denver

Denver, CO • On-site

$80K - $100K/yr

Full-time, Part-time, Contractor

Medical, Dental, Retirement, PTO

Posted 26 days ago


University Of Denver rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

67th of 617 rated colleges and universities


Job description

Visiting Teaching Assistant Professor, Computer Science

Apply now Job no: 498912
Work type: Faculty Full-Time
Location: Denver, CO
Categories: Faculty
Division: Ritchie School of Eng & Comp Sci

The Department of Computer Science at the University of Denver (DU) is building an academically and culturally inclusive faculty and staff who teach and work in a supportive environment surrounded by people with a strong commitment to Ethics and Inclusivity.

Position Summary

We invite applications for multiple full-time non-tenure-track faculty positions as a Visiting Teaching Assistant Professor in Computer Science, with particular interest in applicants who have strengths in CS education, CS theory, data science, algorithms, artificial intelligence, games, and security and privacy. The positions are for the 2026-2027 academic year and begin on September 1, 2026. The appointments will be made for nine-month positions, with the possibility of extension (e.g., for another quarter or for another 9-month term). If candidates are interested, there is potential to incorporate course development and/or teaching an elective course in the candidate's area.

We are intending to hire one or more Visiting Assistant Professors for the upcoming academic year. Applicants who are not available full time but may want to teach part-time are also encouraged to apply. Our professional programs have courses after normal business hours that may fit applicants who prefer to teach in the evening. We are specifically interested in applicants who can teach and potentially help develop courses in:

  • CS education,
  • CS theory/algorithms,
  • Data Science,
  • Artificial Intelligence (AI),
  • CS with Game focus,
  • Security and Privacy

Essential Functions

The University, through its faculty, shall engage in a variety of professional functions, such as teaching, scholarly research and/or creative activity, shared governance, and professional/public service. The relative priority of these functions carried out by colleges, schools, divisions, departments, centers, and individual faculty members should and does vary.

Knowledge, Skills, and Abilities

  • Excellent written and oral communication skills.
  • Demonstrated knowledge and experience with a variety of teaching methods.
  • Outstanding teaching skills.
  • Initiative and ability to work both independently and in a collaborative, collegial environment.
  • Demonstrated experience interacting with various communities or evidence of a commitment to incorporate inclusive teaching methods and/or pedagogies to effectively engage broad student populations.
  • Demonstrated commitment to inclusive excellence, equity, and access in education.
  • Exceptional abilities in scholarly and/or creative activities are needed as required by the department/center/school/college and position.

Required Qualifications

  • A Master's Degree in computer science or a related discipline by the time of appointment.
  • Teaching experience in a college or university setting.
  • Ability to teach both undergraduate and/or graduate courses in Computer Science as evidenced by background or teaching experience.
  • Ability to collaborate with other departmental, school, and university teachers and researchers

Preferred Qualifications

  • PhD or terminal degree in Computer Science or related discipline by the time of appointment.
  • Experience working on interdisciplinary problems that contribute to the public good.
  • Demonstrated excellence in teaching.
  • Demonstrated knowledge and experience with inclusive teaching methods and/or pedagogies to effectively engage student populations in computer science.
  • Ability to teach both graduate courses in Computer Science as evidenced by background or teaching experience.

Working Environment

  • Standard office environment.
  • Unexpected interruptions occur frequently, and stress level is moderate to high.
  • Noise level is quiet to moderate.

Physical Activities

  • Ability to work in front of a computer for extended periods of time.
  • Occasionally required to move about the office/campus.

Work Schedule
While the University's administrative offices are open Monday - Friday, 8:00 am - 4:30 pm, faculty schedules vary from term to term and are based on courses taught, service commitments, and research agendas. The University's academic calendars are posted on the registrar's website (the law school is on a semester system and has a different academic calendar).

Application Deadline
For consideration, please submit your application materials by 4:00 p.m. (MST) August 9, 2026.

Special Instructions
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.

Salary Grade Number:
The salary grade for the position is UC.
Salary Range:
The salary range for this position is $80,000-$100,000.

The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidate's sex or any other protected status.

Benefits:
The University of Denver offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO pass. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.

Please include the following documents with your application:
1. Curriculum Vitae
2. Cover Letter

The University of Denver is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including sex stereotypes, sex characteristics, sexual orientation, gender identity, and gender expression), marital, family, or parental status, pregnancy or related conditions, national origin, disability, or status as a protected veteran. The University of Denver does not discriminate and prohibits discrimination on the basis of race, color, national origin, ancestry, age, religion, creed, disability, sex (including sex stereotypes, sex characteristics, sexual orientation, gender identity, and gender expression), marital family, and parental status, pregnancy, genetic information, military enlistment, or veteran status, and any other class of individuals protected from discrimination under federal, state, or local law, regulation, or ordinance in any of the University's educational programs and activities, and in the employment (including application for employment) and admissions (including application for admission) context, as required by Title IX of the Education Amendments of 1972; the Americans with Disabilities Act; Section 504 of the Rehabilitation Act of 1973; Title VI and VII of the Civil Rights Act of 1964; the Age Discrimination Act of 1975; the Age Discrimination in Employment Act of 1967; the Equal Pay Act; the Colorado Equal Pay for Equal Work Act; the Colorado Protecting Opportunities and Worker's Rights ("POWR") Act; and any other federal, state, and local laws, regulations, or ordinances that prohibit discrimination, harassment, and/or retaliation. For more information, please see the University of Denver's NonDiscriminationStatement.

All offers of employment are based upon satisfactory completion of a criminal history and National Sex Offender Registry background check.

Advertised: July 16, 2026
Applications close: August 09, 2026

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About University of Denver

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The University of Denver (DU) is a private research institution situated in Denver, Colorado, United States. Operating within the higher education industry, the university provides a wide range of undergraduate and postgraduate academic programs across various disciplines, including arts, humanities, business, law, and social sciences. Founded in 1864, just a few years after the city of Denver itself was founded, the university’s rich history is characterized by its commitment to the public good. Its mission is to provide top-tier education that promotes holistic student development, innovative scholarship, and inclusive community engagement. Among its notable achievements, DU boasts a substantial network of accomplished alumni, including former U.S. Secretary of State Condoleezza Rice.

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Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1864

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