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Part Time Data Scientist Jobs in San Ramon, CA (NOW HIRING)

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 ...

Stantec

Building Science Consultant

San Francisco, CA · On-site

$85K - $119K/yr

... data organization. * Provide drafting and design support for contract documents using AutoCAD and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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All JobsData Scientist JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in San Ramon, CA

Part Time Data Scientist information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do part time data scientist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for part time data scientist in San Ramon, CA is $137,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What Does a Part-Time Data Scientist Do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience through projects or certifications. Employers value skills and experience over age, making it possible to start a data science career at 40 or older.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

Is a data scientist job still in demand?

Data scientist jobs remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the role often offers flexible or part-time schedules for qualified candidates.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

Can you work part-time as a data scientist?

Yes, data scientist roles can be available on a part-time basis, especially in freelance, consulting, or project-based work. Employers may require specific skills such as programming in Python or R, data analysis, and familiarity with tools like SQL or machine learning frameworks, which can be adapted to part-time schedules depending on the company's needs.
More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in San Ramon, CA? The most popular types of Data Scientist jobs in San Ramon, CA are:
What job categories do people searching Part Time Data Scientist jobs in San Ramon, CA look for? The top searched job categories for Part Time Data Scientist jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Part Time Data Scientist jobs? Cities near San Ramon, CA with the most Part Time Data Scientist job openings:
Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in San Ramon, CA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $137,163 per year, or $65.9 per hour.
CLERK

CLERK

University of California San Francisco

San Francisco, CA • On-site

$20 - $26.75/hr

Full-time, Part-time

Re-posted 21 days ago

University Of California San Francisco rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

32nd of 555 rated colleges and universities

Job description


The Institute for Global Health (IGH) was established in 1999 by the University of California, San Francisco (UCSF) and the University of California, Berkeley (UCB). It is a unique multidisciplinary and cross-institutional enterprise, formally set up within the Department of Epidemiology & Biostatistics in UCSF's School of Medicine. In July 2004, IGH became an Organized Research Unit (ORU) at UCSF. IGH, now the Prevention and Public Health Group (PPHG), seeks to improve health worldwide, especially in developing countries, through research that informs policy. The research is part of a broader mission to advance the welfare of vulnerable populations in California, the United States, and abroad, through education, advocacy, and research.
Immunizations are one of public health's greatest achievements. Vaccines help prevent diseases and help keep Californians of all ages healthy. Making sure all kids get their routine shots on time gives them a healthy start in life. The Immunization program provides leadership and support to public and private sector efforts to protect the population against vaccine-preventable diseases.
The incumbent will provide support to the Vaccines for Children (VFC) Program Health Facility Evaluators and the Health Education Supervisor in the Central California Region.
This position will be housed in Fresno CA.
Responsibilities
Under direct supervision, coordinates routine visits between VFC Representatives and medical providers.Maintains files, screens and distributes mail.Under direct supervision types/completes forms, form letter, labels, etc. Screen mail. Performs alpha and numeric filing. Answers telephones and exchange routine inormationUnder direct supervision helps with the ordering of office supplies; may obtain sourcing and pricing information.Under direct supervision will be given specific oral and/or written instructions as a guideline to compile and prepare routine factual reports from readily available information.Using routine templates, straightforward materials and data, applies standard office software programs to prepare memoranda, letters, charts, graphs, and / or tables.
Qualifications
Required Qualifications:
  • Must be detail-oriented able to work independently.
  • Basic understanding of Microsoft software including Access and Excel.
  • Must have own adequate transportation, ability to provide a valid California Driver's License, and proof of current automobile insurance.
  • At least one year of related experience or an equivalent combination of education and experience
  • Basic knowledge of general/standard clerical functions (. e.g., filing, telephones, photocopying, scheduling, etc.);

Preferred Qualifications:
  • Full-time or part-time student currently enrolled in a university program in the sciences, public health or another related field.
  • Interest and coursework in public health or related scientific field desired.
  • Quantitative and data management skills.

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