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Statistical Engineering Jobs in Virginia (NOW HIRING)

Background in statistical programming language (ideally SPSS, R, Tableau). Do you have what it takes? * Top Secret clearance with poly. * Master's degree with 6-10 years of expereince or Bachelor ...

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

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or related discipline. * Experience: * 5-8 years of experience in data analytics, machine learning, or AI ...

Knowing a statistical programming language like Python to enable handling large sets of data and performing complex equations. * Data visualization: Capable of consolidating findings in a clear ...

Showing results 41-60

Statistical Engineering information

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.

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 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.

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 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:

Journeyman Operations Research Analyst with Security Clearance

Peerless Technologies Corporation

Dahlgren, VA • On-site

$100K - $118K/yr

Other

Re-posted 17 days 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