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Computer Science Statistics Jobs in South Carolina

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field * Ten (10) years of experience in ...

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field * Ten (10) years of experience in ...

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field * Ten (10) years of experience in ...

Graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline; academic research experience may be considered equivalent to industry ...

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field. * 3+ years of experience in data science ...

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field. * 3+ years of experience in data science ...

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Showing results 1-20

Computer Science Statistics information

See South Carolina salary details

$34.8K

$113.9K

$182.3K

How much do computer science statistics jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computer science statistics in South Carolina is $113,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $126,200.00 per year, depending on experience, location, and employer.

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

What are popular job titles related to Computer Science Statistics jobs in South Carolina?

For Computer Science Statistics jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in South Carolina look for?

The top searched job categories for Computer Science Statistics jobs in South Carolina are:

Infographic showing various Computer Science Statistics job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $113,896 per year, or $54.8 per hour.

Computer Scientist Cybersecurity

US Department of the Treasury

North Charleston, SC

$125K/yr

Full-time

Posted 11 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

311th of 853 rated public administrative organizations


Job description

WHAT IS THE CRIMINIAL INVESTIGATIONS DIVISION?
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
    • CI
      • Advanced Analytics & Innovation
      • Cyber & Forensic Services (DC area only)
  • 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 closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
Evaluation of Education:
Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, 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:

  • Demonstrated professional competence in applying the theoretical foundations of computer science, including the design, development and application of computer systems and architectures, artificial intelligence, natural language processing, deep learning, data ingestion, normalization, and ontologies.
  • Applying software exploitation techniques, cryptanalysis, or blockchain technology.
  • Interpreting and applying relevant mathematical and statistical sciences.
  • Working complex assignments in research, acquisition, design, development and maintenance of information systems for identifying and tracing movements in cryptocurrency, deanonymization of online actors, identifying suspicious activity, or analyzing and organizing large volumes of unstructured data.
  • Leading projects to design, acquire, and implement major prototype and developmental systems.
  • Making extensive modifications and upgrades to existing systems, taking into account changing requirements and interfaces, advances in technology, and evolving standards.

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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