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Part Time Remote Data Science Jobs in California

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Consulting Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

IQVIA

Clinical Trial Rater

Los Angeles, CA · Remote

Remote based in the US Hours: Approximately 5h per week Role: Clinical Specialist Start: immediate ... Our mission is to combine data science and human expertise to transform healthcare worldwide. We ...

We Vote

Google Analytics Specialist

Oakland, CA · On-site +1

We are a Fast Forward nonprofit technology grantee and a fully remote organization made up of 120 ... Bachelor's degree in Marketing, Data Science, Computer Science, or a related field. * 1-2 years of ...

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Part Time Remote Data Science information

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What are the key skills and qualifications needed to thrive as a part time remote data scientist?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.

How do part time remote data scientists typically collaborate with full time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in remote roles where flexible schedules are common. Part-time positions may require proficiency in tools like Python or R and often involve project-based or consulting work, making them suitable for individuals seeking flexible employment arrangements.

What are the most commonly searched types of Remote Data Science jobs in California?

The most popular types of Remote Data Science jobs in California are:

What are popular job titles related to Part Time Remote Data Science jobs in California?

For Part Time Remote Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Science jobs in California look for?

The top searched job categories for Part Time Remote Data Science jobs in California are:

What cities in California are hiring for Part Time Remote Data Science jobs?

Cities in California with the most Part Time Remote Data Science job openings:

Part Time Remote Data Science jobs near you
Infographic showing various Part Time Remote Data Science job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

AI Consulting Expert - Remote

YO AI Labs

San Jose, CA • Remote

$100 - $200/hr

Part-time

Posted 25 days ago

Job description

Job Title: AI Consulting Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives.
  • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation.
  • Develop, refine, and evaluate prompts for AI models.
  • Conduct quality assurance and rubric-based evaluations of AI-generated outputs.
  • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.
  • Provide actionable feedback and recommendations to improve AI model performance.
  • Collaborate remotely with project teams to support continuous AI improvement.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical & Report Writing
  • Business Communication
  • Content Review & Editing
  • Data Interpretation
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations.
  • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations.
  • Strong professional writing, business communication, and technical editing skills.
  • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.
  • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus.
  • Candidates with strong academic or professional achievements are encouraged to apply