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Statistical Engineering Jobs in Charleston, SC (NOW HIRING)

Tecolote Research

Advanced Cost Analyst

Hanahan, SC · On-site

Bachelor's degree required. 24 semester hours of quantitative course work (economics, mathematics, statistics, engineering, physics, chemistry, finance etc.) required to include three hours of ...

KBR

Manager, Engineering Operations

Charleston, SC

Manager, Engineering Operations Belong, Connect, Grow, with KBR! Program Summary The Marine Corps ... Proficiency in commercial word processing, databases, spreadsheets and statistical software ...

UEC Electronics, LLC

Embedded Software Engineer

Hanahan, SC · On-site

$119K - $156K/yr

Support software QA, including perform code reviews, unit testing, measuring code statistics, and ... Proven working experience in embedded software engineering * BS degree in Computer Science or ...

UEC Electronic

Embedded Software Engineer

Hanahan, SC

$119K - $156K/yr

Support software QA, including perform code reviews, unit testing, measuring code statistics, and ... Proven working experience in embedded software engineering * BS degree in Computer Science or ...

HII

ENGINEER QUALITY 3

Goose Creek, SC

$65K - $84K/yr

Collaborates with engineering and manufacturing functions to ensure quality standards are in place ... statistical analysis to assess the cost of and determine the responsibility for, products or ...

HII

ENGINEER QUALITY 3

Goose Creek, SC · On-site

$65K - $84K/yr

Collaborates with engineering and manufacturing functions to ensure quality standards are in place ... statistical analysis to assess the cost of and determine the responsibility for, products or ...

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Showing results 21-40

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Charleston, SC

Statistical Engineering information

See Charleston, SC salary details

$57.9K

$68K

$75.8K

How much do statistical engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for statistical engineering in Charleston, SC is $67,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $72,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a statistical engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Charleston, SC? For Statistical Engineering jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Charleston, SC look for? The top searched job categories for Statistical Engineering jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Statistical Engineering jobs? Cities near Charleston, SC with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Charleston, SC as of June 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $67,971 per year, or $32.7 per hour.

Advanced Cost Analyst

Tecolote Research

Hanahan, SC • On-site

Full-time

Re-posted 12 days ago

Job description

Overview
We are seeking highly motivated individuals with a strong work ethic to support the Naval Information Warfare Systems Command (NAVWAR) and other Department of Defense (DoD) projects. Successful candidates will have excellent communication, quantitative, research, and analytical skills in addition to the following.
Responsibilities
  • Conducting cost analyses and cost estimating in support of Life Cycle Cost Estimates, Analyses of Alternatives (AoA), Business Case Analyses (BCAs), and trade studies
  • Developing cost models and implementing cost estimating methodologies
  • Providing analytical support for program controls and reporting
  • Analyzing and assessing programmatic schedules

Skills Required
We are seeking highly motivated individuals with a strong work ethic to support the Naval Information Warfare Systems Command (NAVWAR) and other Department of Defense (DoD) projects. Successful candidates will have excellent communication, quantitative, research, and analytical skills in addition to the following: Successful applicants will be required to possess the following qualifications:
  • 5+ years cost analysis / cost estimating experience; preferable in DoD acquisition programs
  • Professional certification from a recognized professional society or educational organization in the specific career field preferred (e.g. ICEAA Professional Cost Estimator / Analyst (PCEA), ICEAA Certified Cost Estimator / Analyst (CCEA), DAWIA level II, etc)
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint, Project) and cost estimating tools (e.g. ACEIT, Crystal Ball)
  • Minimum interim Secret level security clearance required
  • Bachelor's degree required. 24 semester hours of quantitative course work (economics, mathematics, statistics, engineering, physics, chemistry, finance etc.) required to include three hours of college level calculus

Additional relevant experience desired for applicants includes:
  • Life cycle cost estimate development and documentation
  • Developing cost estimating methodologies, relationships and cost model development
  • Cost databases (including data collection, validation and normalization techniques)
  • Risk and uncertainty analysis
  • Business case, economic analysis, net present value, and cost benefit analysis
  • EVM tools and techniques

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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