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Statistician Job Jobs in Virginia (NOW HIRING)

$63K/yr

Bachelor's degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. OR COMBINATION OF ...

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Statistician Job information

What is the difference between Statistician Job vs Data Analyst?

AspectStatistician JobData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Mathematics, Computer Science, or related field
Work EnvironmentResearch institutions, government agencies, healthcare, financeBusiness, marketing, technology, healthcare
Employer & Industry UsageUsed in academia, government, research organizationsCommon in corporate, tech, and marketing sectors
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and industry applications

While both Statistician and Data Analyst roles involve analyzing data and interpreting results, statisticians often focus on developing new statistical methods and models, working in research or academia. Data analysts typically handle data processing, visualization, and reporting to support business decisions. The roles overlap in skills and credentials but differ in scope and application.

Are statisticians still in demand?

Statisticians are currently in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data analysis and decision-making. Strong skills in statistical software, programming, and data interpretation enhance job prospects in this field.

Is a statistician a high paying job?

Statisticians typically earn higher-than-average salaries due to their specialized skills in data analysis, modeling, and statistical software. Salaries vary by industry, experience, and location, but the profession is generally considered well-paying compared to many other roles in data and research fields.

What kind of jobs do statisticians do?

Statisticians analyze data to identify trends, develop models, and support decision-making across various industries such as healthcare, finance, government, and research. They use statistical software and methods to collect, interpret, and present data, often working in teams and requiring strong analytical skills and knowledge of statistical tools.

What are popular job titles related to Statistician Job jobs in Virginia?

For Statistician Job jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Statistician Job jobs in Virginia look for?

The top searched job categories for Statistician Job jobs in Virginia are:

Infographic showing various Statistician Job job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 28% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Expert Statistician/Mathematician (QAF Oversight & Monitoring) - OBIQUA

CELESTAR

Reston, VA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Celestar Corporation is seeking an Expert Statistician/Mathematician (QAF Oversight & Monitoring) to support The Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: TBD
ANTICIPATED START: TBD
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: DIA Facilities across the National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly
About Us:
Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).
• The Expert Statistician/Mathematician, (QAF Oversight & Monitoring), Develops and applies fundamental mathematics, mathematical or statistical theory to collect, organize, interpret and summarize numerical data to generate usable information to solve a wide range of intelligence problems.
• Applies mathematical theories and statistical methods to solve practical problems.
• Develops mathematical or statistical models of phenomena for analysis or computational simulation.
• Designs complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data to structure analyses.
• Plans and performs data collection for projects, determining types/sizes of sample groups and prepares data for processing by organizing information and checking for inaccuracies.
• Processes large amounts of data for statistical modeling and graphic analysis (metrics).
• Develops computer code to automate the collecting and processing of data.
• Produces results of analyses in graphs, charts, tables, and metrics. Prepares products to describe and document findings and activities.
• Conduct audits to ensure compliant use of AI systems for approved use-cases in all source analysis
• Evaluate: AA performance and adherence to tradecraft standards and identify areas for improvement.
• Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization.
• Design and execute TEVV protocols to evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts.
• Develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement.
• Collaborate with stakeholders to develop and implement corrective actions to address TEVV findings.
• Develop and track performance metrics to evaluate the effectiveness of AI systems in all source analysis.
• Analyze and interpret performance metrics to identify trends, patterns, and areas for improvement.
• Collaborate with stakeholders to develop and implement data-driven decision-making processes to inform AI system development and improvement.
• Develop and refine methodologies for evaluating AI system performance, robustness, and fairness in all source analysis contexts.
• Collaborate with stakeholders to develop and implement best practices for AI system development, testing, and deployment.
• Publish and present research findings on AI assurance methodologies and best practices.
• Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.
Required qualifications/skills:
• Minimum 20 years of experience conducting analysis relevant to the
specific labor category with at least a portion of the experience within the last 2 years.
• Master's degree in an area related to the labor category from a college
or university accredited by an agency recognized by the U.S. Department of Education.
• Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions.
• Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission.
• Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymakers.
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.