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Adjunct Data Science Jobs in Texas (NOW HIRING)

The University of Maryland Global Campus

Industry Certifications in ML, AI, Data Science from Microsoft, IBM, AWS. Materials needed for ... The Adjunct Faculty Role at UMGC UMGC is committed to helping students achieve success not only ...

University of Maryland Global Campus

Industry Certifications in ML, AI, Data Science from Microsoft, IBM, AWS. Materials needed for ... The Adjunct Faculty Role at UMGC UMGC is committed to helping students achieve success not only ...

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Adjunct Data Science information

What are the key skills and qualifications needed to thrive as an Adjunct Data Science Instructor, and why are they important?

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 professor?

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 instructor 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 are popular job titles related to Adjunct Data Science jobs in Texas? For Adjunct Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Adjunct Data Science jobs in Texas look for? The top searched job categories for Adjunct Data Science jobs in Texas are:
What cities in Texas are hiring for Adjunct Data Science jobs? Cities in Texas with the most Adjunct Data Science job openings:
Adjunct Data Science jobs near you
Infographic showing various Adjunct Data Science job openings in Texas as of July 2026, with employment types broken down into 1% Locum Tenens, 35% Full Time, 61% Part Time, 2% Temporary, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.
Adjunct Faculty - MS Applied Data Science

Adjunct Faculty - MS Applied Data Science

University of St. Thomas

Houston, TX • On-site

Part-time

Posted 29 days ago

Job description

Adjunct Faculty - MS Applied Data Science
The University of St. Thomas (UST), a private Catholic university committed to the liberal arts and the religious and intellectual tradition of Catholic higher education, invites applications from outstanding candidates for an adjunct faculty position in the Master of Science in Applied Data Science program.
The general responsibility for this position will be teaching a graduate lecture course in a HyFlex format. A Doctoral Degree in data science or a closely related field and experience working on projects related to data science are required for the position.
Applicants must provide a cover letter addressing qualifications for the position, a curriculum vitae, and the names of and contacts of three professional references. Candidates offered an adjunct position must also provide official transcripts before the position starts.
The University of St. Thomas is committed to hiring faculty who can help it not only fulfill its integrated mission - the formation of the whole person for flourishing in this life and the next - but also advance it in new ways. The University's Catholic identity is the center of this mission, a Catholicism expressed for our own age by the Catechism of the Catholic Church and Pope St. John Paul II's Ex Corde Ecclesiae. The University asks all candidates applying for this position to consider these documents to ensure their professional goals and practices can align with them. While applicants need not be Catholic, they must be able to support the University as it seeks to be faithful to and embody the riches of the Catholic intellectual tradition.

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