Part-Time Adjunct: Very Large Info Systems Lecture & Lab

Grand Canyon University Inc.; Phoenix (AZ); On-site; USD 3,000 - 6,000; Part time

Benefits offered by this job

Tuition benefits specifically for the副

401(k)

Employee Perks and Discounts

Gym and Fitness Center

Canyon Health & Wellness Center

Job summary

Grand Canyon University in Phoenix seeks a part-time adjunct faculty member to teach Very Large Information Systems and related machine learning courses.

The role involves in-person instruction, small class sizes, and mentoring students in data science techniques, Python programming, and big data analytics. Requires advanced degrees and substantial industry experience; Spring 2027 offering with a focus on hands-on projects.

Qualifications

• Master's in Computer Science or Statistics or closely related degree and experience in Big Data Analytics or Data Science with proficiency in Python.
• Bachelor in Statistics or closely related degree and 5+ years of experience in Big Data Analytics or Data Science with proficiency in Python.
• Proficient in Python programming, with emphasis on pandas, numpy, matplotlib, scikit, and tensorflow.

Responsibilities

• Facilitate classroom lecture and discussions.
• Engage students in learning course objectives and topics.
• Assess student performance and mentor success in the classroom.
• Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University.

Skills

Python

Big Data Analytics

Data Science

Education

Master's in Computer Science or Statistics or closely related degree

Bachelor in Statistics or closely related degree

Tools

pandas

numpy

matplotlib

scikit-learn

tensorflow

Job description

Grand Canyon University in Phoenix seeks a part-time adjunct faculty member to teach Very Large Information Systems and related machine learning courses.

The role involves in-person instruction, small class sizes, and mentoring students in data science techniques, Python programming, and big data analytics. Requires advanced degrees and substantial industry experience; Spring 2027 offering with a focus on hands-on projects.