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Statistical Engineering Jobs in Virginia (NOW HIRING)

Ra

Marketing Analytics Manager

Arlington, VA · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

BWXT

Statistician

Lynchburg, VA

$60K - $136K/yr

S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering ... Perform statistical evaluations of quality assurance data using exploratory data analysis ...

BWX Technologies

Statistician

Lynchburg, VA · On-site

$60K - $136K/yr

S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering ... Perform statistical evaluations of quality assurance data using exploratory data analysis ...

BWX Technologies, Inc.

Statistician

Lynchburg, VA · On-site

$60K - $136K/yr

S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering ... Perform statistical evaluations of quality assurance data using exploratory data analysis ...

Fisher Auto Parts

Merchandise Data Analyst

Staunton, VA · On-site

$50K - $65K/yr

A Bachelor's degree (BA, BS) or equivalent in Business Administration, Statistics, Engineering, or comparable field. * Must possess and maintain a valid and current driver's license; * Successfully ...

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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:

Statistical Engineering jobs near you

Lead Statistician 264

Freedom Technology Solutions Group

Springfield, VA • On-site

Full-time

Posted 26 days ago

Job description

Freedom Technology Solutions Group is seeking a Lead Statistician. The Lead Statistician will have a proven track record successfully working as the primary statistical expert as part of a collaborative team in a dynamic environment providing statistical analysis and methodology support for Government-originated data analysis studies. The Statistician will develop tactical study plans to answer business questions, perform quantitative research, and provide written summaries of study results.  The Lead Statistician will select and implement statistical analysis appropriate for the problems presented and conduct statistical analyses to derive conclusions. The Lead Statistician will engage with customers and team members on design and methodological issues, evaluate relative advantage of collecting new data versus using extant data, and define statistical design and methodology to meet study needs.

Required Qualifications:

  • Active TS/SCI with the ability to obtain a Poly
  • Master's degree/PhD in Statistics, Mathematics, Physics, or related STEM field and 10 years of experience as a Statistician
  • Experience and success interpreting research requests, developing analysis plans, performing high-level statistical analysis, statistical sampling, and computing required samples sizes.
  • Experience in:
    • Exploratory Data Analysis
    • Sample Size Determination
    • Linear and LogisticRegression
    • Response Modeling
    • Probability Calculations
    • Experimental Design
    • Categorical Data Analysis
    • Statistical Process Control and Process Certification
    • Multivariate Data Analysis
  • Experience working on projects of complex scope where independent judgment is used within a broad range of defined procedures and practices
  • Experience communicating in written documents and providing oral briefings
  • Experience developing new applications and methodologies for existing or newly acquired data, and leading design efforts in selecting statistical methodology
  • Experience with statistical programming software, (e.g. SAS, R, Matlab, Python, etc.)

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