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Statistical Modeling Jobs in Washington (NOW HIRING)

Barrow Wise Consulting

Senior Statistician

MD · On-site

$110K - $170K/yr

Create and execute all statistical models required for K-12, postsecondary, teacher, expenditure, and degree projections * Clean, harmonize, and validate NCES, Census, and IPEDS datasets * Build ...

New

Jobtailor

ENERGY AND WATER STATISTICIAN

Arlington, VA · On-site

$90 - $110/hr

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 ...

New

Ra

Marketing Analytics Senior Manager

Washington, DC · On-site

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

Washington, DC

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

Arlington, VA · On-site

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

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All JobsStatistical Modeling JobsStatistical Modeling Jobs in Washington

Statistical Modeling information

See Washington salary details

$41.3K

$62.7K

$112.1K

How much do statistical modeling jobs pay per year?

As of Aug 21, 2026, the average yearly pay for statistical modeling in Washington is $62,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $68,000.00 per year, depending on experience, location, and employer.

What is statistical modeling?

Statistical modeling is the process of using mathematical models and statistical techniques to analyze data, identify patterns, and make predictions or inferences. It involves building models that represent relationships between variables in real-world systems. These models can be used for forecasting, hypothesis testing, and decision-making in various fields such as business, science, and engineering. Statistical modeling helps turn raw data into actionable insights by quantifying uncertainty and highlighting significant trends.

What are the key skills and qualifications needed to thrive as a statistical modeler, and why are they important?

To excel as a Statistical Modeler, a solid background in statistics, mathematics, and data analysis—often supported by a degree in a quantitative field—is essential. Proficiency with statistical software such as R, Python, SAS, or SPSS and familiarity with data visualization tools are typically required. Strong problem-solving skills, critical thinking, and effective communication help convey complex findings to non-technical stakeholders. These skills ensure accurate model development, actionable insights, and effective decision-making based on data.

What are some common challenges faced by professionals in statistical modeling roles, and how can they be managed?

Professionals in statistical modeling often encounter challenges such as dealing with incomplete or messy data, selecting the most appropriate modeling techniques, and clearly communicating complex results to non-technical stakeholders. Managing these challenges typically involves collaborating closely with data engineers and domain experts, employing robust data cleaning practices, and staying up-to-date with new statistical methods. Additionally, effective communication skills are essential for translating technical findings into actionable business insights, ensuring that modeling efforts drive real-world impact.

What is the difference between Statistical Modeling vs Data Analyst?

AspectStatistical ModelingData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; proficiency in statistical softwareDegree in data science, statistics, or related; strong analytical skills
Work EnvironmentResearch, academia, or data-driven industries; focus on model developmentBusiness, marketing, or finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in industries requiring predictive models and complex analysisUsed across various industries for data reporting and insights

Statistical Modeling involves creating mathematical models to understand data patterns and make predictions, often requiring advanced statistical knowledge. Data Analysts focus on interpreting data, generating reports, and providing actionable insights. While both roles work with data, Statistical Modeling emphasizes model development, whereas Data Analysts concentrate on data interpretation and presentation.

What do statistical modeling do?

Statistical modeling involves developing mathematical representations of data to analyze and predict patterns or outcomes. Professionals in this field use tools like statistical software and techniques such as regression or hypothesis testing to interpret data and support decision-making across various industries.

What are popular job titles related to Statistical Modeling jobs in Washington?

For Statistical Modeling jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Statistical Modeling jobs in Washington look for?

The top searched job categories for Statistical Modeling jobs in Washington are:

What cities in Washington are hiring for Statistical Modeling jobs?

Cities in Washington with the most Statistical Modeling job openings:

Statistical Modeling jobs near you
Infographic showing various Statistical Modeling job openings in Washington as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $62,689 per year, or $30.1 per hour.

Statistical Modeling & Simulation Subject Matter Expert (SME)

One Federal Solution

Washington, DC • On-site

Full-time

Posted 23 days ago

Job description

One Federal Solution is seeking a highly skilled Statistical Modeling & Simulation Subject Matter Expert (SME) to support a Government Client by providing advanced statistical analysis, predictive modeling, simulation, and data-driven insights that support strategic planning and organizational decision-making. The successful candidate will leverage quantitative analysis, statistical methodologies, and visualization techniques to evaluate trends, develop predictive models, and deliver actionable recommendations to executive leadership and stakeholders.
Key Responsibilities
  • Perform advanced statistical analysis to support organizational initiatives and strategic decision-making.
  • Develop, validate, and maintain predictive models, simulation models, and analytical methodologies.
  • Analyze large and complex datasets to identify trends, risks, and opportunities for improvement.
  • Design and maintain dashboards, scorecards, and data visualizations that communicate key performance metrics.
  • Conduct quantitative and qualitative analyses to evaluate program performance and operational effectiveness.
  • Support forecasting, workload analysis, resource planning, and simulation activities.
  • Prepare executive briefings, technical reports, white papers, and presentation materials that communicate analytical findings.
  • Collaborate with cross-functional stakeholders to gather requirements and develop analytical solutions.
  • Support cost estimating efforts, including lifecycle cost estimates (LCCE), Basis of Estimate (BOE), Cost Estimating Baseline Documents (CEBD), and Analysis of Alternatives (AoA), as applicable.
  • Ensure data integrity through validation, quality assurance, and documentation of analytical methodologies.
  • Develop recommendations that improve business processes and organizational performance.
  • Manage multiple analytical projects while meeting established deadlines and deliverables.
Required Qualifications
  • Master's degree from an accredited college or university.
  • Minimum of 12 years of project, program management, or related professional experience.
  • Minimum of 8 years conducting analytical and support activities.
  • Minimum of 5 years of experience performing statistical analysis, statistical modeling, simulation, predictive analytics, or related quantitative analysis.
  • Demonstrated experience using Python, R, SAS, or another statistical programming language to manipulate and analyze data.
  • Experience developing dashboards, visualizations, and executive-level reporting.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to collect, organize, analyze, and interpret complex datasets.
  • Proficiency with Microsoft Office applications, including Excel, PowerPoint, Access, and Project.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities in a fast-paced environment.
Preferred Qualifications
  • Experience supporting Federal Government programs.
  • Experience with Power BI, Tableau, or other business intelligence and visualization platforms.
  • Experience developing predictive models, forecasting models, or simulation methodologies.
  • Knowledge of operational research, statistical forecasting, or decision science techniques.
  • Experience supporting executive-level reporting and strategic planning initiatives.
  • Experience with cost analysis, financial modeling, or resource planning.
About One Federal Solution
One Federal Solution (OFS) is an innovative Professional Services provider with over 20 years of experience supporting Defense and Civilian agencies. OFS specializes in Business Intelligence, Acquisition and Procurement, and other Professional Services. We are pioneers, builders, thought leaders, and pride ourselves in thinking outside the box to co-create with our customers, helping them achieve excellent enterprise wide outcomes. As a certified Service-Disabled Veteran-Owned Small Business (SDVOSB), OFS is committed to providing people who deliver high performance and excellence to our government partners.

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