More jobs:
Adjunct Faculty; Data Science and Artificial Intelligence NLC - req
Job in
Universal City, Bexar County, Texas, 78148, USA
Listed on 2026-06-05
Listing for:
Alamo Colleges District
Full Time, Part Time, Seasonal/Temporary
position Listed on 2026-06-05
Job specializations:
-
Education / Teaching
Data Scientist
Job Description & How to Apply Below
Adjunct Faculty (Data Science and Artificial Intelligence) NLC - req
13794
To receive consideration for employment, you must upload transcript(s) and a Resume/CV. Please submit transcript(s) under "Other Documents" under applicant profile in application.
Posting closes on: 12/1/2026 at 6:00pm CST
The date after which applications are not guaranteed review is 12/1/2026
This position is part-time and temporary
Employment type:
TN
Hours per Week:
Varies
Hourly or Salaried:
Salary
Entry Pay:
Depends on education level
Funding source:
Hard Money
Benefits Eligible:
No
Location:
Data Sci Artificial Intelligenc
1201 Kitty Hawk Rd.
Universal City, Texas, 78148
United States
Requisition #: req
13794
Outside working hours if other than M-F 8:00 a.m. to 5:00 p.m.:
May work evenings and weekends
Job Summary and Description
Teaching faculty are professional educators who have the primary responsibility of fulfilling the District mission of providing a quality education for all students attending the colleges. Categories include full-time, temporary with benefits, and temporary without benefits. Faculty members are responsible to a department/program chairperson;
The relationship of the faculty member to the student is one of leader, teacher, advisor, and facilitator of learning. Faculty members will uphold the mission and values of the colleges' and foster effective working relationships with students and colleagues.
To view a complete job description, .
Qualifications
Minimum
Education and Experience:
* Associates degree plus three years of experience.
* Python coding with experience in Pandas, Scikit, numpy.
* Experience with IDEs such as PyCharm and Anaconda.
* Experience in Machine Learning, supervised and unsupervised, including creation of small models for real-world purposes.
* Familiarity with frameworks such as Tensor Flow.
* Exposure to Neural Networks/Deep Learning Algorithms.
* Good understanding of statistics (regression, ANOVA).
* Fair knowledge of RDBMS, No
SQL, JSON, YAML.
* Some
Experience with benchmarking LLMs qualitatively and quantitatively.
Preferred
Education and Experience:
* Some R knowledge would be preferred.
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