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Parttime Data Science Jobs in Berkeley, CA (NOW HIRING)

SLB

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/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 ...

IQVIA

MedTech

San Francisco, CA

$45 - $60/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

We Vote

Google Analytics Specialist

Oakland, CA · On-site +1

WeVote is a movement of over 120 active passionate, part-time volunteers (starting with the ... Bachelor's degree in Marketing, Data Science, Computer Science, or a related field. * 1-2 years of ...

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Showing results 1-20

All JobsParttime Data Science JobsParttime Data Science Jobs in Berkeley, CA

Parttime Data Science information

See Berkeley, CA salary details

$56.3K

$202.1K

$298.2K

How much do parttime data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for parttime data science in Berkeley, CA is $202,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $163,500.00 and $208,200.00 per year, depending on experience, location, and employer.

What is the difference between Parttime Data Science vs Parttime Data Analyst?

AspectParttime Data ScienceParttime Data Analyst
Required SkillsStatistical analysis, programming (Python/R), machine learningData visualization, basic statistics, Excel, SQL
Work EnvironmentTech companies, startups, research projectsBusiness, marketing, finance departments
Common CertificationsCertified Data Scientist, Python certificationsMicrosoft Excel, SQL certifications

Parttime Data Science roles typically require advanced skills in programming and machine learning, often found in tech or research settings. In contrast, Parttime Data Analyst positions focus on data visualization and basic analysis, suitable for business or marketing environments. Both roles are popular in various industries, but Data Science generally demands more technical credentials and programming expertise.

What are popular job titles related to Parttime Data Science jobs in Berkeley, CA? For Parttime Data Science jobs in Berkeley, CA, the most frequently searched job titles are:
What cities near Berkeley, CA are hiring for Parttime Data Science jobs? Cities near Berkeley, CA with the most Parttime Data Science job openings:
Parttime Data Science jobs near you
Infographic showing various Parttime Data Science job openings in Berkeley, CA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $202,055 per year, or $97.1 per hour.
Lecturer, Data Science (Temporary Employee Pool)

Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific

San Francisco, CA

Part-time

Posted 6 days ago

Job description

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: 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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