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

Part Time Remote Data Science information

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.
What are popular job titles related to Part Time Remote Data Science jobs in Arkansas? For Part Time Remote Data Science jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Arkansas look for? The top searched job categories for Part Time Remote Data Science jobs in Arkansas are:
What cities in Arkansas are hiring for Part Time Remote Data Science jobs? Cities in Arkansas with the most Part Time Remote Data Science job openings:
Research Data Scientist

Research Data Scientist

Veterans Health Administration

Little Rock, AR • On-site, Remote

Part-time

Posted 6 days ago


Veterans Health Administration rating

8.1

Company rating: 8.1 out of 10

Based on 967 frontline employees who took The Breakroom Quiz

70th of 872 rated healthcare providers


Job description

Summary
Please note: There is no pay associated with this position.
This position serves as Without Compensation (WOC) Research Data Scientist within the Office of Research and Development (ORD). The VA Research Program strives to promote Veteran-centered care to improve patient experiences and outcomes across VA healthcare and community settings, and to advance value-driven care by providing Veterans the highest quality care at the lowest financial burden.
Learn more about this agency
Duties
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Major Duties:
  • Assisting with data analysis
  • Participating in research study planning and execution
  • Performing database creation and maintenance
  • Providing data quality checks
  • Performing data analysis
  • Contributing to and delivering presentations or publications

Work Schedule: Intermittent (Without Compensation)
Requirements
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Conditions of employment
  • You must be a U.S. Citizen to apply for this job
  • Selective Service Registration is required for males born after 12/31/1959
  • Subject to background/security investigation
  • Selected applicants will be required to complete an online onboarding process. Acceptable form(s) of identification will be required to complete pre-employment requirements (https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents). Effective May 7, 2025, driver's licenses or state-issued identification cards that are not REAL ID compliant cannot be utilized as an acceptable form of identification for employment.
  • Participation in the seasonal influenza vaccination program is a requirement for all Department of Veterans Affairs Health Care Personnel (HCP)

Qualifications
To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 06/22/2026.
Experience:
  • Experience conducting advanced statistical analysis using machine learning and discrete-time predictive modeling.
  • Experience using data to create a final analytic dataset using SQL and SAS.
  • Experience contributing to and developing presentations and manuscripts reporting on the statistical analysis.

AND
Education: To meet the education requirements for the 1560 Data Science Series, you must possess one of the following:
  • A degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
  • A combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Physical Requirements: The work is predominantly sedentary. Typically, the employee sits comfortably to do the work. However, there will be some walking, standing, bending and carrying of items of moderate weight such as large binders, banker style file boxes, meeting materials, papers, books or small parts. Hand and eye coordination for delicate testing procedures may be the only special physical demand required to perform the work.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Education
A transcript must be submitted with your application if you are basing all or part of your qualifications on education.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.
Additional information
If you are unable to apply online or need an alternate method to submit documents, please reach out to the Agency Contact listed in this Job Opportunity Announcement.
Under the Fair Chance to Compete Act, the Department of Veterans Affairs prohibits requesting an applicant's criminal history prior to accepting a tentative job offer. For more information about the Act and the complaint process, visit Human Resources and Administration/Operations, Security, and Preparedness (HRA/OSP) at The Fair Chance Act.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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About Veterans Health Administration

Sourced by ZipRecruiter

The Veterans Health Administration (VHA) is the largest integrated health care system in the United States, serving millions of Veterans each year. Located in Phoenix, AZ, and many other parts of the US, the VHA operates under the Department of Veteran Affairs, as suggested by their official website va.gov. The VHA is dedicated to providing the highest level of comprehensive care to its veterans. The organization offers a broad spectrum of medical, surgical, and rehabilitative care, including mental health services, research, and pharmacy benefits.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Phoenix, AZ, US