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Adjunct Data Science Jobs in Texas (NOW HIRING)

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Adjunct Data Science information

What are the key skills and qualifications needed to thrive as an adjunct data science?

To thrive as an Adjunct Data Science Instructor, you need a strong background in statistics, programming (often Python or R), and machine learning, typically supported by an advanced degree in data science or a related field. Familiarity with data analysis tools, version control systems, and online learning platforms is essential, along with any relevant teaching certifications. Excellent communication, adaptability, and the ability to engage and mentor students are crucial soft skills for this role. These skills ensure effective instruction, student engagement, and the ability to translate complex concepts into practical learning outcomes.

What is an adjunct data science?

An adjunct data science professor is a part-time instructor hired by a college or university to teach data science courses. Unlike full-time faculty, adjuncts typically teach one or more classes per term and may have other professional commitments outside of academia. They are responsible for preparing course materials, delivering lectures, assessing student work, and staying current in the field. Adjuncts bring practical industry experience to the classroom, helping to bridge the gap between academic theory and real-world application.

What are the typical challenges an adjunct data science faces when balancing teaching responsibilities with other professional commitments?

Adjunct Data Science instructors often juggle teaching with other professional roles, such as industry positions or research projects. This can make time management a significant challenge, especially when preparing lectures, grading assignments, and staying current with rapidly evolving data science tools. Additionally, adjuncts may have limited access to institutional resources or support, requiring them to be proactive in seeking collaboration and professional development. Despite these hurdles, many find the role rewarding due to opportunities to share real-world experience with students and expand professional networks within academia.

What is the difference between Adjunct Data Science vs Data Scientist?

AspectAdjunct Data ScienceData Scientist
Required CredentialsTypically a relevant degree or experience in data science or related fieldAdvanced degree (Master's or PhD) often preferred
Work EnvironmentPart-time, adjunct faculty position often in academic settingsFull-time or contract roles in industry or research
Employer & Industry UsageEducational institutions, universities, online education platformsTech companies, finance, healthcare, and other industries
Common Search & Comparison IntentUnderstanding academic or part-time roles in data scienceIndustry roles with full responsibilities in data analysis and modeling

Adjunct Data Science roles are typically part-time teaching positions in academic settings, requiring relevant experience or degrees. Data Scientists usually work full-time in industry, focusing on data analysis, modeling, and machine learning. While both roles involve data skills, their work environments and responsibilities differ significantly.

What cities in Texas are hiring for Adjunct Data Science jobs? Cities in Texas with the most Adjunct Data Science job openings:
Infographic showing various Adjunct Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Adjunct Instructor: Information Technology & Decision Sciences

University of North Texas System

Denton, TX โ€ข On-site

Full-time

Posted 17 days ago


Job description

Title: Adjunct Instructor: Information Technology & Decision Sciences

Employee Classification: Adjunct Faculty

Campus: University of North Texas

Division: UNT-Provost

SubDivision-Department: UNT-Ryan College of Business

Department: UNT-Info Tech & Decision Sci-131320

Job Location: Denton

Salary: Compensation is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.

FTE:

Retirement Eligibility: Eligibility based on semesterly assignment, for more information visit https://hr.untsystem.edu/benefits/

About Us - Values Overview

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.
 
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.
 
Learn more about the UNT System and how we live our values at www.UNTSystem.edu.
 

Department Summary

The Department of Information Technology and Decision Sciences (ITDS) comprises two academic disciplines: Information Systems and Management Science. The ITDS department has over 40 research and teaching faculty whose mission is to conduct cutting-edge research and prepare the next generation of information systems, management science, and business analytics professionals. Our department offers degrees at the bachelor’s, master’s, and PhD levels. Five of our degrees are STEM-designated — BS and MS in IS, BBA, MBA, and MS in Business Analytics. We also offer PhDs in Information Systems, Management Science, and Information Assurance. ITDS has a solid track record of producing well-prepared, motivated, and ultimately successful business professionals and academicians.
UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.

Position Overview

The Department of Information Technology & Decision Sciences seeks qualified individuals for its Adjunct Instructor Pool and welcomes applicants at any time. This posting is for the Fall 2026, Spring 2027, and Summer 2027 semesters. The specific courses involved may vary from semester to semester, and openings to teach these courses arise periodically, depending on the department's teaching needs.
The anticipated need is for Adjunct Instructors whose duties may include, but are not limited to, teaching introductory undergraduate courses in Information Systems (IS) and Management Science/Decision Sciences/Business Analytics (MS) courses, as well as technical undergraduate and graduate courses in information security, object-oriented programming (Python and Java), information systems development, and database management. In addition, we are looking for adjunct instructors to teach BUSI 3100, a one-credit professional development course that helps students develop proficiency with MS Excel and prepares students to take an MS Excel certification exam.

Minimum Qualifications

Candidates for teaching undergraduate BCIS and DSCI courses (2xxx-4xxx) must possess a master's degree and at least 18 graduate credit hours in IS and/or MS or a closely related field. Teaching and/or practical experience may be required for some courses.
Candidates for teaching BUSI 3100 must possess a master's degree and at least 18 graduate credit hours in IS, MS, business administration, finance, accounting, data analytics, or a closely related field, and teaching and/or practical experience using MS Excel for reporting and decision making.
Candidates for teaching graduate courses require a Ph.D. in IS and/or an MS or a closely related field.
Degrees must be from an Association to Advance Collegiate Schools of Business (AACSB) or a similarly accredited institution.

Preferred Qualifications

A terminal degree in the discipline is preferred.
Work experience in the area of the course taught and/or teaching experience in the field. For advanced courses, demonstrated knowledge of that area, which may be through work, teaching experience, or transcripts.

Required License/Registration/Certifications

Physical Requirements

Communicating with others to exchange information.

Environmental Hazards

No adverse environmental conditions expected.

Work Schedule

varies based on assignment

Driving University Vehicle

No

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. 

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit –and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.