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Part Time Remote Data Science Jobs (NOW HIRING)

Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship ... Remote work within the United States. * Flexible vacation policy. * Opportunity to build cutting ...

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a ...

Data Entry Clerk

Los Angeles, CA · Remote

$18.25 - $24.50/hr

Remote Data Entry Clerk Job Type: Part-Time or Full-Time (Flexible Schedule) Location: Work from Home Job Overview: Were looking for detail-oriented individuals to enter and update data from home. No ...

Junior Data Entry Clerk / Part Time

Austin, TX · Remote

$16.75 - $22.50/hr

Junior Data Entry Clerk (Part-Time, Remote) Are you ready to kickstart your career in the dynamic world of data entry? We're on the lookout for a talented Junior Data Entry Clerk to join our growing ...

This is a part-time remote position. Responsibilities * This position's primary role will be to oversee and monitor work completed by subject matter experts in cybersecurity, quantum sciences, data ...

Data Analyst - Part Time

Des Moines, IA · On-site +1

$30.57 - $47.42/hr

The HHS Data Analyst-1 position is a Part-Time opportunity with a flexible schedule. Work hours ... Possession of a professional certificate in data science, business analytics, or data analytics.

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Part Time Remote Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 12, 2026, the average yearly pay for part time remote data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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, and why are they important?

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.
More about Part Time Remote Data Science jobs
What cities are hiring for Part Time Remote Data Science jobs? Cities with the most Part Time Remote Data Science job openings:
What are the most commonly searched types of Remote Data Science jobs? The most popular types of Remote Data Science jobs are:
What states have the most Part Time Remote Data Science jobs? States with the most job openings for Part Time Remote Data Science jobs include:
Infographic showing various Part Time Remote Data Science job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Entry Clerk / Part Time (Remote)

Link-Up Overseas

Austin, TX • Remote

$16.75 - $22.50/hr

Full-time, Part-time

Re-posted 6 days ago


Job description

This is a remote position.

Exciting Opportunity - Remote Entry-Level Data Entry Clerk

Are you a detail-oriented, organized, and tech-savvy individual with a

passion for data accuracy and efficiency? If you thrive in a remote work

environment and enjoy being part of a dynamic team, we have the perfect

role for you! Join our innovative and forward-thinking company as an

Entry-Level Data Entry Clerk and kickstart your career in the world of

data management.

Responsibilities:

  • Collaborate with cross-functional teams to enter, update, and maintain data accurately in our database systems.
  • Verify and review data for errors, inconsistencies, or missing information and rectify discrepancies promptly.
  • Ensure data quality and integrity by conducting regular audits and data cleansing.
  • Support the team in generating and interpreting reports for various departments.
  • Assist in data analysis and contribute to actionable insights that drive business decisions.
  • Embrace new technology and tools to streamline data entry processes and enhance overall productivity.
  • Maintain confidentiality and comply with data security policies and procedures.
  • Meet deadlines and prioritize tasks effectively to achieve operational efficiency.
  • Collaborate with team members to brainstorm ideas and contribute to process improvement initiatives.

Qualifications:

  • High school diploma or equivalent required; relevant certifications or coursework in data management is a plus.
  • Proficient in using Microsoft Office Suite (Excel, Word, PowerPoint) and Google Workspace applications.
  • Strong attention to detail and accuracy, with a keen eye for identifying errors.
  • Excellent communication skills, both written and verbal, with the ability to convey complex information effectively.
  • Tech-savvy and adaptable to learning new software and database systems quickly.
  • Strong organizational skills with the ability to multitask and manage time efficiently.
  • Ability to work independently and collaboratively as part of a remote team.
  • Basic understanding of data privacy regulations and confidentiality principles.

Benefits:

  • Remote work flexibility - work from the comfort of your home or any preferred location.
  • Competitive entry-level salary with performance-based incentives.
  • Learning and growth opportunities to enhance your skills and advance your career.
  • Access to a supportive and collaborative work environment, fostering creativity and innovation.
  • Flexible work hours to promote work-life balance.
  • Join a diverse and inclusive company culture that values each individual's unique perspectives.
  • Opportunity to contribute to exciting projects and make a real impact on the organization's success.