ZipRecruiter

Log In

1

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 ...

Deloitte

Senior Palantir Engineer

Rosslyn, VA · On-site

$119.10K - $163.50K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... statistical programming tools to enterprise data to advance and enable key mission outcomes. 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 ...

RecruitTalent LLC.

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 ...

Beyond SOF

Data Analyst (TS/SCI, 3 yrs exp)

Reston, VA · On-site

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 ...

next page

Showing results 1-20

People also search for

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 May 30, 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.

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 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 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
Data Scientist

Data Scientist

ECS

Springfield, VA • On-site

Full-time

Posted 22 days ago

Job description

Everforth ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office.
Job Description:
ECS seeks a Data Scientist to support the development and integration of Big Data/Cloud Solutions. The candidate will have experience in managing, manipulating, storing and parsing data for various applications. The work is performed in a multidisciplinary team environment in an agile project framework. The candidate is highly motivated and enthusiastic about implementing new technologies in a small team environment where deadlines are important to national security.
  • Must be a US Citizen
  • Active Top Secret security clearance with SCI + CI Poly eligibility
  • 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 related areas: Data Science, Computer Science or Computer Engineering
  • Proficient parsing data in different formats for ML applications
  • Proficient with Linux shell scripting
  • Experience using statistical programming languages such as Python to extract and manipulate data
  • Technical proficiency with transforming structured and unstructured data sets
  • Excellent communication, and presentation skills with the demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences with an impeccable attention to detail

Apply