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Statistical Engineering Jobs in Virginia (NOW HIRING)

ECS

Data Scientist

Springfield, VA · On-site

A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field * 5+ years of working experience in one of the ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries * Familiar with Data Engineering concepts * Familiar with the ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Virginia

Statistical Engineering information

See Virginia salary details

$59.9K

$70.3K

$78.4K

How much do statistical engineering jobs pay per year?

As of Jun 22, 2026, the average yearly pay for statistical engineering in Virginia is $70,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $75,000.00 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 engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

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 much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

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 Virginia? For Statistical Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Virginia look for? The top searched job categories for Statistical Engineering jobs in Virginia are:
What cities in Virginia are hiring for Statistical Engineering jobs? Cities in Virginia with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Operations Research Analyst with Security Clearance

Operations Research Analyst with Security Clearance

Peerless Technologies Corporation

Dahlgren, VA

$100K - $118K/yr

Other

Posted 10 hours ago

Job description

Team Peerless is currently seeking an Operations Research Analyst to join our Enhanced Modeling and Simulation (M&S) development team. You'll work alongside a diverse group of software engineers and data scientists in support of the Joint Warfare Analysis Center and other Department of Defense and Intelligence Community stakeholders. Details Designing and executing simulation experiments that minimize compute time and maximize actionable insights Applying Monte Carlo methods, statistical techniques, and operational research tools to real-world scenarios Modeling systems and operations using Python, R, VBA, or MATLAB (preferred) Defining data requirements, analyzing datasets, and building recommendations to inform key strategic decisions Validating models and evaluating their effectiveness, adapting as needed to meet evolving goals Developing and applying tools such as PERT networks to plan and manage large-scale projects Creating detailed, insightful reports and visualizations for leadership and stakeholders Collaborating with engineers, scientists, and management across domains including defense, energy, health, transportation, and more Required Qualifications 3+ years of experience in operations research, data analysis, or mathematical modeling Bachelors degree in Operations Research or a related field (e.g., mathematics, statistics, engineering, or computer science) * Active TS/SCI clearance

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