1

Statistical Engineering Jobs in Washington (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 ...

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

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

next page

Showing results 1-20

Statistical Engineering information

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.

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.

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 are popular job titles related to Statistical Engineering jobs in Washington? For Statistical Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Washington look for? The top searched job categories for Statistical Engineering jobs in Washington are:
What cities in Washington are hiring for Statistical Engineering jobs? Cities in Washington with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Washington as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.
Energy and Water Statistician

Energy and Water Statistician

Concurrent Technologies Corporation

Arlington, VA • On-site

Full-time

Re-posted 28 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