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Part Time Remote Data Science Jobs in Alhambra, CA

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ...

... Remote Flexible Working Hours Freelance Contract What We're Looking For Professionals with ... life sciences and healthcare industries. We create intelligent connections to accelerate the ...

... Remote Flexible Working Hours Freelance Contract What We're Looking For Professionals with ... life sciences and healthcare industries. We create intelligent connections to accelerate the ...

The 3D Animator will create high-fidelity, cinematic animations that communicate complex scientific ... This is a remote position *M&S Consulting proactively fulfills its role as an equal opportunity ...

B2C Marketing (part-time) Intern

Los Angeles, CA · Remote

$15.25 - $20.50/hr

Use data to identify what's working and double down on winning channels What we offer * Flexible remote work from anywhere in the US * Direct mentorship from the founding team * Real ownership and ...

Showing results 21-40

Part Time Remote Data Science information

See Alhambra, CA salary details

$39.5K

$129.4K

$207.2K

How much do part time remote data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time remote data science in Alhambra, CA is $129,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $143,400.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Part Time Remote Data Science jobs in Alhambra, CA?

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

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

The top searched job categories for Part Time Remote Data Science jobs in Alhambra, CA are:

What cities near Alhambra, CA are hiring for Part Time Remote Data Science jobs?

Cities near Alhambra, CA with the most Part Time Remote Data Science job openings:

Infographic showing various Part Time Remote Data Science job openings in Alhambra, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 5% In-person, and 95% Remote job distribution, with an average salary of $129,441 per year, or $62.2 per hour.

AI Finance Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 5 days ago


Job description

Job Title: AI Finance Domain Expert

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

Job Overview

We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most.

Key Responsibilities
  • Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

  • Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.

  • Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria.

  • Author and review investment memos, due diligence reports, research summaries, and technical documentation.

  • Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards.

  • Conduct independent research and fact-checking to validate financial information.

  • Provide detailed feedback to improve AI model performance and financial reasoning.

Required Skills
  • Critical Thinking

  • Analytical Reasoning

  • Quality Assurance

  • Prompt Engineering

  • AI Output Evaluation

  • Financial Analysis

  • Technical & Report Writing

  • Business Communication

  • Content Review & Editing

  • Fact Checking

  • Data Interpretation

  • Data Annotation

  • Problem-Solving

  • Independent Research

  • Attention to Detail

Preferred Qualifications
  • Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.

  • Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written communication and professional editing abilities.

  • Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus.

  • Master's, MBA, JD, PhD, or another advanced degree is preferred.

  • Commitment to producing high-quality, accurate, and well-documented work.