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Statistical Modeling Jobs in Washington (NOW HIRING)

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

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 ...

Ra

Marketing Analytics 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 ...

Mindlance

Data Scientist Specialist

Mclean, VA · On-site

The Modeling and Analytics group in Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes. Your Impact: The ...

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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 1, 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.

How much do data modelers make?

Data modelers, also known as statistical modelers, typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning or programming may earn higher salaries, especially in tech hubs or large organizations.

Are statisticians highly paid?

Statisticians are generally well-paid, with median salaries often above the national average, especially for those with advanced skills in statistical software, programming, and data analysis. Salaries vary based on experience, education, industry, and location, but the profession is considered financially rewarding compared to many other roles in data analysis and modeling.

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 do statistical models do?

Statistical modeling involves creating mathematical representations of data to analyze relationships, make predictions, and inform decision-making. Professionals in this field use tools like regression analysis and statistical software to interpret complex data sets and support evidence-based conclusions.

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 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.

Is AI replacing statisticians?

Statisticians play a key role in designing experiments, analyzing data, and interpreting results, and AI tools are used to enhance these tasks rather than replace the profession. AI can automate routine data processing, but statisticians are needed for complex modeling, decision-making, and ensuring data quality. Proficiency in statistical software and programming languages like R or Python remains essential for the job.
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 July 2026, with employment types broken down into 65% Full Time, 17% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% 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 3 days ago

New

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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