Lecturer, Data Science (Temporary Employee Pool)

Posting Details

Position Information

Title Lecturer, Data Science (Temporary Employee Pool) Campus Stockton Department Data Science Posting Number F01077 Full or Part Time Part Time Open Date 05/22/2026 Close Date 12/14/2026 Open Until Filled Yes Days Per Week 3 Weeks Per Year 15

Position Description

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)

University of the Pacific recognizes that diversity, equity, and inclusion is foundational to the success of our valued students and employees. We prioritize policy and decision-making that demonstrates awareness of, and responsiveness to, the ways socio-cultural forces related to race, gender, ability, sexuality, socio-economic status, etc. impede or propel students, faculty, and staff.

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 $5000.00 per unit (We consider factors such as, but not limited to, scope and responsibilities of the position, candidate's qualifications, internal equity, as well as market and organizational considerations when extending an offer.) Special Instructions

To Apply, Please Submit The Following

• Curriculum vitae
• Contact information for three references

Contact Information

Dr. James Hetrick

Professor/Director of Data Science.

email: [email protected] Contact Email [email protected]

Reference Letter Information

Are Applicants Required to Submit References for This Posting? Yes Minimum Number of References 3 Maximum Number of References 3 Background Check Statement

All applicants who receive a conditional offer of employment are required to execute a release and authorization for a background screening.

AB 810 Misconduct Disclosure Requirement: University of the Pacific complies with California Assembly Bill 810, requiring candidates accepting conditional job offers to disclose any final administrative or judicial findings, ongoing proceedings, allegations, resignations under investigation, or appeals related to sexual harassment or misconduct within the past seven years.

Anti-Discrimination/EEO Policy 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.

Supplemental Questions

Required fields are indicated with an asterisk (*).

• * Pacific participates in federal healthcare programs. As such, a required part of the hiring process is to verify that potential employees have not been excluded from participating in federal programs for mandatory exclusions (including for fraud, controlled substances crimes, patient abuse or neglect, or other program-related crimes) or for other permissive exclusions by the Office of Inspector General. A "Yes" response would be considered disqualifying. Please answer the following question accordingly: Are you currently excluded from participation in federal programs (including Medicare, Medicaid, or any other federal healthcare program)?

• Yes

• No

• * Pacific participates in federal healthcare programs. As such, a required part of the hiring process is to verify that potential employees have not been excluded from participating in federal programs for mandatory exclusions (including for fraud, controlled substances crimes, patient abuse or neglect, or other program-related crimes) or for other permissive exclusions by the Office of Inspector General. A "Yes" response would be considered disqualifying. Please answer the following question accordingly: Have you received notice that you are under review for possible exclusion from any federal programs (including Medicare, Medicaid, or any other federal healthcare program)?

• Yes

• No

• * How did you first learn about this employment opportunity?

• University of the Pacific Website

• Asianlife.com

• Blackperspective.com

• CentralValleyJobs.com

• Craigslist

• Dice.com

• Higheredjobs.com

• Hispanic-Jobs.com

• Indeed.com

• Insidehighered.com

• LinkedIn

• Lgbtconnect.com

• Metrochamber.org

• Monster.com

• Thelaa.org

• SimplyHired.com

• Workplacediversity.com

• Association of American Colleges and Universities (AAC&U)

• Chronicle of HIgher Education

• Diverse Issues in Higher Education

• EDUCAUSE

• Higher Education Recruitment Consortium (HERC)

• Higher Education Recruitment Consortium - Northern California (NorCal HERC)

• Modesto Bee

• Pacific Employee

• Personal Referral

• Professional or Association Listserv

• Publication or website from a professional organization

• Sacramento Bee

• San Francisco Chronicle

• Stockton Record

• Agency Referral

• Other Online Job Board

• * Do you have a Master’s or Ph.D. in Data Science, Computer Science, Business Analytics, or a related field?

• yes

• no

• * Do you have demonstrated experience in retail analytics, e-commerce, or consumer data modeling?

• yes

• no

Applicant Documents

Required Documents

• Curriculum Vitae
• Teaching Philosophy
• Faculty Letter of Reference 1
• Faculty Letter of Reference 2
• Faculty Letter of Reference 3

Optional Documents

• Resume
• Cover Letter/Letter of Application
• Other Document
• Other Document 2