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Part Time Data Science Analytics Jobs in California

Axos Bank

Data Science Intern - Summer 2026

San Diego, CA · On-site

$20 - $25/hr

You will collaborate with other data scientists and analysts, developing and implementing innovative data-driven solutions to optimize business processes, enhance customer experiences, and drive ...

SoFi

Staff Data Scientist

San Francisco, CA · On-site +1

$250.08K - $275.09K/yr

Analyze complex datasets to understand the performance and drivers for losses across various ... Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.

SLB

AI Solutions Architect

Menlo Park, CA · On-site

$228.94K - $231.60K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... Participate in data science, artificial intelligence, machine learning, and industrial analytics ...

Figma

Data Platform Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

... serve analytics to production-grade AI systems. You'll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$61.90K - $141K/yr

Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61.90K - $141K/yr

Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Infographic showing various Part Time Data Science Analytics job openings in California as of May 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Contract. Highlights an 100% In-person job distribution.
Lecturer, Data Science (Temporary Employee Pool)

Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific

Stockton, CA • On-site

Part-time

Posted 7 days ago

Job description

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
12/05/2025
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: jhetrick@PACIFIC.EDU
Contact Email
jhetrick@pacific.edu
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.

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