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Entry Level Computer Science Research Jobs in Columbia, SC

Research Faculty

Columbia, SC · On-site

$16.75 - $23/hr

... computer engineering, mechanical engineering, computational sciences or related fields. * Must have ... research and writing; previous post-doctoral work is a plus; * Must be proficient in Microsoft ...

Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry research experience. * Proven track record in at least one of the following areas: Large-scale graph ...

New

AP Statistics Tutor

Columbia, SC · Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

Entry Level Aviation Planner

Columbia, SC · On-site

$60K - $70K/yr

Research aviation trends, policies, and emerging technologies impacting airports. * Prepare ... Experience with airport master planning software and CAD tools. * GIS experience (ArcGIS preferred)

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Entry Level Computer Science Research information

How to make $10,000 a month with no degree?

Entry level computer science research roles typically do not pay $10,000 per month without advanced skills or experience. To increase earning potential, developing expertise in high-demand areas like machine learning, cybersecurity, or software engineering, along with certifications and a strong portfolio, can help. Freelance work, consulting, or building scalable projects may also contribute to higher income over time.

What professions make $200,000 a year without a degree?

Entry-level computer science research roles typically do not pay $200,000 annually without advanced degrees or significant experience. High-paying tech jobs such as software engineering, data science, or cybersecurity positions often require specialized skills, certifications, or experience, and reaching a $200,000 salary usually involves several years in the field or working in senior or specialized roles.

What is the difference between Entry Level Computer Science Research vs Entry Level Software Developer?

AspectEntry Level Computer Science ResearchEntry Level Software Developer
Required CredentialsBachelor's degree in CS or related field; research experience beneficialBachelor's degree in CS or related field; coding skills essential
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, startups, software firms
Employer & Industry UsageUniversities, research institutes, tech companiesSoftware development firms, tech industry
Common Search & Comparison IntentUnderstanding research-focused roles in CSEntry-level coding and development roles

Entry Level Computer Science Research roles focus on exploring new algorithms, theories, and innovations within academic or research settings, often requiring research experience. In contrast, Entry Level Software Developer positions emphasize coding, building applications, and deploying software in industry environments. Both roles require a bachelor's degree in CS, but their work environments and daily tasks differ significantly.

What are entry level computer science research positions?

Entry level computer science research positions are roles designed for individuals who have recently graduated with a degree in computer science or a related field and are interested in gaining experience in research. These positions typically involve assisting with research projects, conducting experiments, analyzing data, and writing reports under the guidance of senior researchers or professors. They are often found in academic institutions, research labs, or tech companies and can serve as a stepping stone toward more advanced research or graduate studies. Candidates are usually expected to have a foundational understanding of computer science principles and some experience with programming or data analysis.

Is computer science dead due to AI?

Entry level computer science research roles continue to be in demand as AI advances, requiring skills in programming, algorithms, and data analysis. AI tools can augment research but do not replace the need for foundational computer science knowledge and critical thinking. Staying current with emerging technologies and gaining relevant certifications can enhance job prospects in this evolving field.

How to start research work in computer science?

To start research work in computer science, begin by gaining a strong foundation in programming, algorithms, and data structures through coursework or self-study. Identify your area of interest, read relevant research papers, and seek opportunities such as internships or assistant roles to gain practical experience and mentorship.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Researcher, and why are they important?

To excel as an Entry Level Computer Science Researcher, you need a solid background in computer science fundamentals, programming, and data analysis, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python, Java, or C++), research tools (like MATLAB or R), and version control systems (like Git) is often required. Strong problem-solving abilities, critical thinking, and effective written and verbal communication make candidates stand out. These skills enable researchers to contribute to innovative projects, collaborate with peers, and clearly present findings in a rapidly evolving field.

What are typical daily tasks and research activities for someone in an entry level computer science research position?

In an entry level computer science research role, your daily tasks often include reviewing recent literature, coding and running experiments, collecting and analyzing data, and documenting results. You’ll likely collaborate with senior researchers, attend group meetings to discuss progress, and assist with preparing papers or presentations. The work environment is usually team-oriented, with ample opportunities to learn from mentors and contribute to ongoing projects. This hands-on experience helps you build both technical and analytical skills that are essential for advancing in research-focused careers.
What are popular job titles related to Entry Level Computer Science Research jobs in Columbia, SC? For Entry Level Computer Science Research jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Research jobs in Columbia, SC look for? The top searched job categories for Entry Level Computer Science Research jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Entry Level Computer Science Research jobs? Cities near Columbia, SC with the most Entry Level Computer Science Research job openings:
Infographic showing various Entry Level Computer Science Research job openings in Columbia, SC as of July 2026, with employment types broken down into 65% Full Time, 28% Part Time, and 7% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

$74K/yr

Other

Posted 2 days ago

New


Job description


WHAT IS DATA AND ANALYTICS?
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):
Data and Analytics (DAO)- Research, Applied Analytics & Statistics (RAAS)
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 date as shown in announcement under the 'How to Apply' section.
BASIC REQUIREMENTS GS-5 AND (All GRADES): A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
SPECIALIZED EXPERIENCE GS-11 Level: 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-09 grade level in the Federal service. Specialized experience for this position includes:
  • Experience with mathematical reasoning/statistical project assignments that require operations research requirements and techniques. For example, experience would show a good understanding of operations research processes, procedures, and rules.
  • Experience utilizing mathematical methods and scientific principles in order to accomplish studies, develop a variety of mathematical models and provide management with solutions or recommendations or the equivalent.
  • Experience using multivariate techniques and pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
  • Experience researching and gathering data from a variety of sources and using it to analyze technical projects and program areas.
  • Experience using negotiation and conflict resolution techniques to collaborate in a team environment.
  • Experience using oral and written techniques to develop/prepare presentations and deliver briefings, and experience managing/leading teams to develop analysis and final deliverables.
  • Experience with a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL) or object-oriented programming language for data analysis (examples include: Python, R, SAS).
OR
Education
: You may substitute education for specialized experience as follows: Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR
A Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR Combination of Education and Experience: You may qualify by a combination of experience and education. Options for qualifying based on a combination will be identified in the online questions.
SPECIALIZED EXPERIENCE GS-12 Level: 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-11 grade level in the Federal service. Specialized experience for this position must include the following:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to provide management with viable solutions or recommendations.
  • Experience with multivariate techniques and mathematical, simulation, economics, econometric, and statistical operations research techniques to use in the context of organizational policy decisions or business problems.
  • Experience with the Internal Revenue Code, Treasury and Office of Management and Budget (OMB) regulations and procedures, administrative provisions, and the Internal Revenue Manual in order to ensure guidelines are applied in analysis.
  • Experience assisting or conducting research using standard methods for identifying the probable causes of cost/workload variances and procedures for resolving variances.
  • Experience with oral and written communications to complete data analysis and communicate analytical findings through conference calls, emails, graphic displays, and oral presentations.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
See education information for Specialized experience qualification for GS 13 Level.
For more information on qualifications please refer to OPM's Qualifications Standards.Education:
SPECIALIZED EXPERIENCE GS-13 Level: 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-12 grade level in the Federal service. Specialized experience for this position must include:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to measure program effectiveness and efficiency and to identify probable causes of cost/workload variance.
  • Experience conducting data analysis and communicating analytic findings to stakeholders through written products (e.g., emails, reports) and oral communication methods such as conference calls and presentations.
  • Experience applying the Internal Revenue code, Treasury and OPM regulations, administrative requirements and guidance to ensure analysis, recommendations or actions comply with established guidelines.
  • Experience consulting with supervisors, other operations research analysts, and subject-matter specialists to advise them on all aspects of problem-related studies and assignments, including the translation of broad and specific technical problems and considerations into language which allows for decisions and actions to be taken.
  • Experience using software (e.g., Excel) to develop analytical spreadsheets, prepare reports, and create materials that support operations to analyze and interpret technical or program data, develop tracking mechanisms and prepare technical reports or briefings used by management to evaluate performance, resolve issues or recommend improvements.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform)

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