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Applied Statistics Jobs in Virginia (NOW HIRING)

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 Research Analyst

Arlington, VA · On-site

$133K - $134K/yr

D. in social sciences or statistics with an emphasis on research methods, applied statistics, or applied economics; or master's degree in applied statistics or applied economics with three years ...

Senior Research Analyst

Arlington, VA · On-site

$133K - $134K/yr

D. in social sciences or statistics with an emphasis on research methods, applied statistics, or applied economics; or master's degree in applied statistics or applied economics with three years ...

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Applied Statistics information

See Virginia salary details

$40.2K

$82.9K

$116K

How much do applied statistics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for applied statistics in Virginia is $82,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $115,000.00 per year, depending on experience, location, and employer.

Is AI replacing statisticians?

Applied statisticians use AI and machine learning tools to analyze data and develop models, but AI is generally seen as a complement rather than a replacement. Statisticians' expertise in designing experiments, interpreting results, and understanding data context remains essential in ensuring accurate and meaningful insights.

What are typical projects or responsibilities for professionals in Applied Statistics?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What do you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation to support decision-making. Professionals often use tools like R, Python, or SQL and may work in industries such as healthcare, finance, or technology. The degree provides a foundation for applying statistical methods to real-world problems and often requires strong analytical and communication skills.

What is an Applied Statistics job?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What is a good salary for an applied statistician?

The average salary for an applied statistician varies by experience, location, and industry but typically ranges from $70,000 to $120,000 annually. Entry-level positions may start around $60,000, while experienced statisticians with advanced skills in programming and data analysis can earn over $130,000 or more.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What are the key skills and qualifications needed to thrive in the Applied Statistics position, and why are they important?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

What are the most commonly searched types of Applied Statistics jobs in Virginia? The most popular types of Applied Statistics jobs in Virginia are:
What cities in Virginia are hiring for Applied Statistics jobs? Cities in Virginia with the most Applied Statistics job openings:
Infographic showing various Applied Statistics job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $82,939 per year, or $39.9 per hour.
ENERGY AND WATER STATISTICIAN with Security Clearance

ENERGY AND WATER STATISTICIAN with Security Clearance

Concurrent Technologies Corporation

Arlington, VA

Other

Posted 23 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 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-technologies-corporation.breezy.hr/
Email:
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.”