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Statistical Engineer Jobs in Virginia (NOW HIRING)

Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments. * High technical level, Subject Matter Expert in biostatistics; willing to guide ...

Palantir Data Engineer

Rosslyn, VA · On-site

$130.50K - $156.70K/yr

Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to ...

Senior Palantir Engineer

Rosslyn, VA · On-site

$119.10K - $163.50K/yr

Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to ...

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

Senior Data Engineer

Arlington, VA · On-site

$122.10K - $165.90K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

Senior Data Engineer

Arlington, VA · Hybrid

$121.90K - $165.70K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

Senior Data Engineer

Arlington, VA · Hybrid

$122.10K - $165.90K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

Data Engineer

Arlington, VA

$131.90K - $158.40K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Design, build ...

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Design, build ...

Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Design, build ...

Palantir AI and Data Science Engineer

Rosslyn, VA

$130.50K - $156.70K/yr

Applying DevOps and statistical programming tools to improve data quality, platform performance, and operational efficiency A successful candidate would possess these skills: * Ability to work ...

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 ...

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 ...

Statistician

Lynchburg, VA · On-site

$66K - $101K/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 ...

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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.
Energy and Water Statistician

Energy and Water Statistician

Concurrent Technologies Corporation

Arlington, VA • On-site

Full-time

Posted 16 days ago


Job description

Energy and Water Statistician

Concurrent Technologies Corporation

Crystal City, VA

Minimum Clearance Required: N/A

Clearance Level Must Be Able to Obtain: Secret

Employee Background Check Required

As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and data management in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security, and data management issues and support the military mission, while reducing environmental impacts. We take our role seriously, as our efforts ensure our installations and assets are prepared in any operating environment, present and future.

CTC is seeking a highly motivated and qualified statistician with experience in energy and water resources and data center infrastructure planning. This mid-career role offers the opportunity to unify disparate water, energy, environmental, and mission support information into a single, structured analytical model designed specifically for data center siting. The position blends hands-on technical analysis, risk assessment, and client-facing activities. In this role, you will focus on developing a scalable, statistically driven risk assessment framework that prioritizes water and energy resource impact assessment and installation risk tolerance assessments to support the Department of the Air Force (DAF) in resilient data center siting. This is a hybrid position located in the Washington, D.C. area, with the flexibility to work from home while participating in some in-person client and team discussions at or near our Crystal City office. Candidates must be in the Washington, DC area or willing to relocate. Recurring in-office work may be required (e.g., every Monday) at client direction. This role provides a unique opportunity to develop expertise at the intersection of water and energy system operations, facility resilience, and mission assurance-key areas for ensuring the security and sustainability of government and defense infrastructure.

Key Responsibilities:

  • Statistical Model Development: Develop and apply statistically rigorous models to assess water and energy risks, define analytical parameters, and generate defensible, data-driven insights for data center prioritization at DAF installations.
  • Data Transformation & Analysis: Translate raw datasets (internal and external) into standardized, machine-readable parameters suitable for statistical modeling. Develop and document data transformation processes and analytical functions.
  • Risk Assessment: Analyze technical utility frameworks, energy and water supply technology capabilities, and data center requirements. Quantify installation-specific risks and resilience metrics.
  • Tool Integration & Verification: Integrate statistical models into the project's assessment tool. Conduct iterative testing and verification to ensure accuracy, repeatability, and defensibility of outputs.
  • Stakeholder Engagement: Collaborate with project leads, data engineers, research analysts, and government stakeholders to define model requirements, validate assumptions, and refine analytical approaches.
  • Documentation & Reporting: Prepare technical documentation, user guidance, and verification reports for model parameters, transformation logic, and tool outputs.


Basic Qualifications:

  • Master's degree or higher in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
  • Minimum six (6) years of professional experience in statistical analysis, predictive modeling, or quantitative research
  • Demonstrated experience in statistical analysis, predictive modeling, and hypothesis testing.
  • Proficiency in statistical programming languages (e.g., R, Python, SAS) and data visualization tools.
  • Experience translating complex quantitative results into actionable recommendations for technical and non-technical audiences.
  • Familiarity with infrastructure risk assessment, water/energy systems, or resilience engineering is highly desirable.
  • Strong documentation and communication skills.
  • Ability to obtain and maintain a SECRET security clearance.


Preferred Qualifications:

  • Experience with federal or DoD infrastructure, energy, or water resource projects.
  • Knowledge of big-data architectures, AI/ML readiness, and integration with enterprise data systems.
  • Experience working in multidisciplinary teams and engaging with government stakeholders.


Why CTC?

  • Our teams at CTC are passionate and thrive on collaboration in a high-paced team environment
  • When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges
  • Competitive salary and benefits package
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life
  • Visit www.ctc.com to learn more


Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

https://concurrent-technologie...

Staffing Requisition: SR# 2026-0042


"We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."

Employment Type: FULL_TIME