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Statistical Engineer Jobs in Virginia (NOW HIRING)

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 ...

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

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Showing results 1-20

Statistical Engineer information

See Virginia salary details

$32.7K

$93.2K

$144.3K

How much do statistical engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for statistical engineer in Virginia is $93,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $107,600.00 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 skills in statistical analysis, mathematics, and data interpretation, usually backed by a degree in statistics, engineering, or a related field. Familiarity with statistical software (such as R, SAS, or Python), data visualization tools, and knowledge of quality control systems are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data-driven decision-making and process optimization, which are vital for organizational success.

How does a Statistical Engineer typically collaborate with cross-functional teams in a project-driven environment?

Statistical Engineers often work closely with professionals from diverse fields such as data science, software engineering, quality assurance, and business analytics. In a project-driven environment, they are responsible for designing experiments, analyzing large datasets, and interpreting results to inform decision-making. Collaboration usually involves participating in regular meetings, communicating complex statistical findings in an accessible way, and ensuring that analytical methods align with the team's objectives. This cross-functional teamwork not only enhances project outcomes but also helps Statistical Engineers develop broader professional skills and a deeper understanding of the organization's operations.

What are Statistical Engineers?

Statistical Engineers are professionals who apply statistical methods and techniques to solve engineering and production-related problems. They analyze data, design experiments, and develop models to optimize processes, improve product quality, and support decision-making in various industries. Their work often involves collaborating with engineers, scientists, and business teams to interpret data and implement solutions that enhance efficiency and reliability.

What is the difference between Statistical Engineer vs Data Scientist?

AspectStatistical EngineerData Scientist
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related field; often some programming skillsBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentFocus on developing and optimizing statistical models, often in engineering or manufacturing settingsAnalyze large datasets, build predictive models, and communicate insights across various industries
Employer & Industry UsageUsed in manufacturing, engineering, and technology sectors for process improvementCommon in tech, finance, healthcare, and marketing for data analysis and modeling

While both roles require strong statistical knowledge and programming skills, Statistical Engineers primarily focus on developing and implementing statistical models within engineering contexts. Data Scientists tend to work more broadly on analyzing data, building predictive models, and deriving insights across diverse industries.

What are popular job titles related to Statistical Engineer jobs in Virginia? For Statistical Engineer jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Statistical Engineer job openings in Virginia as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $93,223 per year, or $44.8 per hour.
Expert Statistician/Mathematician - Quality Assurance Framework (QAF) Accreditation

Expert Statistician/Mathematician - Quality Assurance Framework (QAF) Accreditation

Peraton

Herndon, VA • On-site

Full-time

Posted 13 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

38th of 203 rated it services


Job description

Responsibilities

Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/ data analysis environments worldwide that enable speedy and precise decision making to warfighters.   

Responsibilities:  

The Expert Statistician/Mathematician - Quality Assurance Framework (QAF) Accreditation specializes in collecting, analyzing, and interpreting data to solve and predict/ mitigate complex intelligence problems by applying statistical methods to provide insights that inform decision making.  This position will focus on QAF Accreditation.  Responsibilities are, but are not limited to: 

Statistician/Mathematician specific: 

  • Develop and apply mathematical theories and statistical methods to solve intelligence problems. 
  • Collect, organize, interpret and summarize data to inform decision making to solve a broad range of problems. 
  • Develop mathematical or statistical models of phenomena for analysis or computational simulation. 
  • Design complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data. 
  • Plan and perform data collection for projects, determining types/sizes of sample groups and parameters. 
  • Prepares data for processing by organizing information and checking for inaccuracies. 
  • Process large amounts of data for statistical modeling and graphic analysis/ metrics. 
  • Develop software or work with developers to automate the collecting and processing of data. 
  • Produce the results of analyses in graphs, charts, tables, and metrics. 
  • Prepare products to describe and document findings and activities; provide briefings to decision makers. 

QAF specific: 

  • Review and evaluation of QAF documentation submitted by advanced analytic product owners. 
  • Ensure compliance with tradecraft standards and adherence to best practices in Artificial Intelligence (AI) system development and deployment. 
  • Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to advanced analytic product owners and developers. 
  • Support maintaining a QAF documentation repository to facilitate knowledge sharing and best practices. 
  • Collaborate with product owners and developers to identify and address potential issues or gaps in QAF documentation. 
  • Develop and deliver training materials and workshops to educate advanced analytic product owners, developers, and stakeholders on the QAF process and its application in AI system development. 
  • Assist analytic methodologists and advanced analytic product owners in translating technical documentation 
  • into analytic tradecraft compliant language. 
  • Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language. 
  • Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards. 
  • Support capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories. 
Qualifications

Required Qualifications: 

  • Master's degree in a relevant field, such as Statistics/ Mathematics or Computer Science, etc., with a minimum of 20 years of work experience. 
  • Expertise in Statistics/ Mathematics application. 
  • Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions. 
  • Experienced in utilization of the Quality Assurance Framework and standards. 
  • Experienced in advanced analytics, machine learning, and data integration methodologies. 
  • Experienced with intelligence databases, software, and analytical tools. 
  • Ability to work collaboratively with users and stakeholders. 
  • Capacity to adapt to changing situations to prioritize tasks effectively. 
  • Excellent communication, analytical, and problem-solving skills. 

Preferred Qualifications: 

  • Doctorate degree in a relevant field, such as Statistics/ Mathematics or Computer Science. 
  • Experience working in the customer environment is preferred. 

Security Clearance:  

This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.  

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017