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Part Time Remote Data Science Jobs in Nevada (NOW HIRING)

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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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 popular job titles related to Part Time Remote Data Science jobs in Nevada?

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

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

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

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

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

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

AI Data Science Evaluator

Las Vegas, NV • Remote

micro1 AI
Software Development • 11 - 50 employees

$245 - $280/hr

Part-time

Posted 19 days ago


Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts