Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific; Stockton (CA); On-site; USD 50,778 - 60,822; Part time

Job summary

The University of the Pacific is hiring a Lecturer in Data Science for a temporary position focusing on Customer Analytics. This part-time role requires a Master's or Ph.D. and expertise in retail analytics. The lecturer will develop course materials, lead online instruction, and manage in-person labs to enhance student learning.

Key responsibilities include organizing course structure and assignments, with a focus on experiential learning. Strong commitment to equity and inclusion in teaching is preferred.

Qualifications

• Master's or Ph.D. in relevant field required.
• Demonstrated experience in retail analytics or consumer data modeling.
• A commitment to experiential learning and translating technical concepts.

Responsibilities

• Lead online course in Customer Analytics.
• Organize course content and produce weekly video lectures.
• Design and grade weekly assignments and provide student support.

Skills

Expertise in teaching Customer Analytics

Retail analytics experience

Experience in e-commerce

Commitment to experiential learning

Ability to translate technical concepts

Knowledge in data science

Education

Master's or Ph.D. in Data Science, Computer Science, Business Analytics, or related field

Job description

Job Title

Lecturer, Data Science (Temporary Employee Pool)

Primary Purpose and Essential Functions

The University of the Pacific is seeking a dynamic and data‑driven Adjunct Faculty member to lead a specialized, one‑unit experiential learning course in Customer Analytics for the Fall 2026 semester. The School of Engineering and Computer Science at the University of Pacific invites applications for a part‑time, non‑tenure track Lecturer position in the Data Science Department. We are seeking a lecturer to teach a 1‑unit, 15‑week asynchronous online course for the Master of Science in Data Science program. The lecturer will be responsible for organizing course content and materials, producing weekly video lectures aligned with the course's learning outcomes, designing and grading weekly assignments, and providing online office‑hour support to students. In addition, the instructor will also create and coordinate project work for the weekly, in‑person, 3‑hour Data Science Socratic Lab, which provides an interactive support component for students enrolled in asynchronous courses.

We are looking for someone with expertise to teach the following courses:

• Customer Analytics (Fall semester)

Minimum Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Business Analytics, or a related field
• Demonstrated experience in retail analytics, e‑commerce, or consumer data modeling
• A commitment to experiential learning and the ability to translate technical concepts into business value

Preferred Qualifications

• Knowledge and experience in data science, specifically customer analytics
• Experience and sensitivity in working with people of diverse backgrounds and cultures
• Demonstrated experience in advancing social justice, equity, and inclusion in a university setting
• Ability to engage and integrate culturally responsive practices and knowledge in their work

Physical Requirements

Physical Requirements: The physical demands described here are representative but not definitive of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requires extended periods of sitting and repetitive hand/wrist motion while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting of up to 25 pounds.

No Visa Sponsorship: This position is not eligible for visa sponsorship now or in the future.

Hiring Range

$5,000.00 per unit

Anti‑Discrimination/EEO Statement

University of the Pacific is an equal opportunity employer dedicated to workforce diversity across backgrounds, experiences, and viewpoints. Pacific does not unlawfully discriminate in its hiring of faculty and staff, or in the provision of its employment benefits to its faculty and staff on the basis of race, color, religion, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental or physical disability, or other legally protected characteristics or combination of such characteristics. While we strive to attract a broad and representative pool of candidates, all hiring decisions are made based on merit, selecting the most qualified individual for each position.