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Part Time Google Data Science Jobs in California

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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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All JobsGoogle Data Science JobsPart Time Google Data Science JobsPart Time Google Data Science Jobs in California

Part Time Google Data Science information

What is a part time Google data science job?

Part-time Google Data Science jobs are roles at Google where employees work fewer hours than a standard full-time schedule, typically focusing on analyzing large datasets, building models, and supporting data-driven decision-making. These positions offer flexibility for students, parents, or professionals seeking work-life balance while still contributing to impactful projects. Responsibilities may include data cleaning, statistical analysis, and collaborating with cross-functional teams to improve Google's products and services. Part-time roles may be project-based or ongoing and can sometimes be remote or hybrid depending on the team's needs.

What does a part time Google data scientist do?

In a part-time Data Science position at Google, you can expect to work on analyzing datasets, building and validating predictive models, and collaborating with cross-functional teams such as engineering and product management. Your daily tasks may include cleaning and preprocessing data, running experiments, and presenting findings to both technical and non-technical stakeholders. Part-time roles often focus on well-defined projects, which allows for flexible scheduling while still contributing meaningfully to the team's goals.

What skills and qualifications are needed for a part time Google data scientist?

To thrive as a Part Time Google Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in computer science, mathematics, or a related field. Hands-on experience with tools like Python, R, SQL, and machine learning libraries, as well as familiarity with Google Cloud Platform, is typically required. Effective communication, problem-solving abilities, and collaboration are essential soft skills for sharing insights and working with cross-functional teams. These skills are crucial for generating actionable data-driven solutions that drive impactful business decisions at Google.

What is the difference between Part Time Google Data Science vs Part Time Data Analyst?

AspectPart Time Google Data SciencePart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, consulting firms, or startups; focus on machine learning, predictive modelingBusiness, marketing, or finance sectors; focus on reporting, data visualization
Employer & Industry UsagePrimarily in tech industry, especially Google or similar companiesAcross various industries including finance, healthcare, retail

Part Time Google Data Science roles focus on advanced machine learning and data modeling, often requiring specialized skills and working in tech environments. In contrast, Part Time Data Analyst roles emphasize data reporting, visualization, and business insights, applicable across diverse industries.

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

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

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

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

Part Time Google Data Science jobs near you

AI Data Science Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 16 days ago

Job description

Job Title: AI Data Science Domain Expert

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

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.