Operations Research Specialist (Secret Clearance)

Job Description

Job Description

$100,000-$124,000

The Building People, LLC, has a position open for a  Operations Research Specialist with an active Secret Clearance.

Key Responsibilities:

• Apply advanced analytical and quantitative methods to support decision-making for facility operations, resource allocation, and process optimization.

• Develop mathematical models, simulations, and forecasting tools to analyze operational scenarios and recommend solutions.

• Collect, validate, and interpret large datasets related to facility performance, maintenance, energy usage, and space utilization.

• Conduct cost-benefit, risk, and lifecycle analyses to inform project planning and investment decisions.

• Support the development of performance metrics, key performance indicators (KPIs), and dashboards for monitoring campus operations.

• Prepare technical reports, visualizations, and presentations to communicate findings and recommendations to stakeholders.

• Collaborate with engineers, planners, management analysts, and other team members to integrate research findings into strategic planning and operational improvements.

• Advise DHS leadership on the implications of analytical results for policy, planning, and resource

Experience/Skills:

• Active Secret Clearance

• Minimum 7 years of experience in operations research, data analysis, or quantitative modeling, preferably in a federal or large-scale facilities environment.

• Proficiency in mathematical modeling, simulation, and statistical analysis tools (e.g., MATLAB, R, Python, SAS).

• Strong analytical, critical thinking, and problem-solving abilities.

• Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

• Ability to communicate complex technical information to both technical and non-technical audiences.

• Knowledge of federal facility operations, project management, and performance measurement is preferred.

• Strong teamwork and collaboration skills.

Education Requirements:

• Bachelor’s degree in Operations Research, Mathematics, Statistics, Industrial Engineering, or a related quantitative field required.