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Weekend Computer Science Volunteer Jobs in Clover, SC

Genesis10

Developer - C#.Net

Charlotte, NC · On-site

$80 - $87/hr

Undergraduate preparation in Computer Science or similar engineering degree with successful ... Voluntary Hospital Indemnity (Critical Illness & Accident) * Voluntary Term Life Insurance * 401K

Advocate Aurora Health

Systems Engineer Senior

Charlotte, NC · On-site

$47.50 - $71.25/hr

Bachelor's degree (or equivalent knowledge) in Computer Science or related. Experience Required: At ... This position requires evenings and weekend hours at times for conversions, due to schedules. Must ...

Advocate Aurora Health

Systems Engineer Senior

Charlotte, NC · On-site

$47.50 - $71.25/hr

Bachelor's degree (or equivalent knowledge) in Computer Science or related. Experience Required: At ... This position requires evenings and weekend hours at times for conversions, due to schedules. Must ...

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Weekend Computer Science Volunteer information

See Clover, SC salary details

$7

$16

$28

How much do weekend computer science volunteer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for weekend computer science volunteer in Clover, SC is $16.42, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $17.31 per hour, depending on experience, location, and employer.

What types of projects or activities do Weekend Computer Science Volunteers typically participate in?

Weekend Computer Science Volunteers often assist with coding workshops, mentor students in programming basics, or support community tech initiatives. Their responsibilities might include helping to organize hackathons, troubleshooting technical issues, or collaborating on open-source projects with other volunteers. The work is usually team-oriented and provides valuable hands-on experience, making it a great way to build technical and leadership skills while contributing to the community.

What are Weekend Computer Science Volunteers?

Weekend Computer Science Volunteers are individuals who dedicate their time, typically on weekends, to assist with computer science-related activities or programs, often in educational or community settings. These volunteers may help teach coding, mentor students, support technology workshops, or assist with IT tasks for non-profit organizations. Their goal is to share knowledge, promote digital literacy, and support communities by leveraging their computer science skills. Volunteering on weekends allows people with weekday commitments to contribute meaningfully. This role is ideal for those passionate about technology and community service.

What are the key skills and qualifications needed to thrive as a Weekend Computer Science Volunteer, and why are they important?

To thrive as a Weekend Computer Science Volunteer, you need a solid understanding of computer science fundamentals, programming languages, and problem-solving skills, typically gained through coursework or self-study. Familiarity with tools like Git, coding platforms, and possibly educational software is often required. Outstanding communication, patience, and teamwork are crucial soft skills for effectively mentoring or assisting others in a volunteer setting. These skills are important to provide meaningful support, foster learning, and contribute positively to the organization's goals.
What are popular job titles related to Weekend Computer Science Volunteer jobs in Clover, SC? For Weekend Computer Science Volunteer jobs in Clover, SC, the most frequently searched job titles are:
Weekend Computer Science Volunteer jobs near you

Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Charlotte, NC

$125K/yr

Other

Posted 17 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other 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.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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