Operations Research Analyst

Job Description

Description:

At The One 23 Group, our mission is to set the benchmark for excellence in government services. We empower our clients in the Department of War, Intelligence Community, and Federal Civilian sectors to excel with our advanced capabilities. Our dedication lies in fostering a people-first culture, underpinned by steadfast ethical principles. Embracing innovative technologies and process improvements, we are steadfast in our journey toward a future that is both bright and transformative.

Our expertise spans Enterprise IT, Mission IT and Cyber. With our global footprint, we place a strong emphasis on nurturing our people and culture, which forms the core of our successful strategies in leadership and financial management. We pride ourselves on our extensive experience and effective approach, ensuring that we lead with both innovation and integrity.Requirements:

Position:

We are seeking a highly motivated and analytically driven Operations Research Analyst to join our team in support of our Department of Homeland Security (DHS) customer.

This role focuses on applying data analytics, statistical methods, and modeling techniques to support the development and application of simulation models representing real-world operations at U.S. Ports of Entry (POEs). The successful candidate will work with operational data to develop baseline models, conduct scenario analysis, and provide decision support to government stakeholders.

Key Responsibilities:

• Analyze operational datasets to understand system behavior, including arrival patterns, processing times, and throughput

• Develop analytical inputs and assumptions to support simulation models

• Support the development and application of discrete event simulation models

• Conduct scenario analysis to evaluate impacts of changes in staffing, infrastructure, or processes

• Validate model outputs against real-world data and refine assumptions as needed

• Translate operational processes into structured analytical frameworks

• Communicate findings and recommendations to technical and non-technical stakeholders

• Support development of synthetic environments through integration of data, models, and visualization tools

***This is a hybrid position. Two (2) to three (3) days in the Herndon office and may be asked to go into the Ronald Reagan Building in Washington, DC one (1) to two (2) times per quarter.

Essential Skills & Qualifications

• Proficiency in Python, R, or similar analytical programming languages

• Strong foundation in statistics, data analysis, and quantitative problem solving

• Experience working with structured datasets using tools such as Excel, SQL, or similar platforms

• Experience working with time-based or event-based datasets

• Experience or familiarity with simulation modeling (discrete event, Monte Carlo, or agent-based)

• Exposure to operations research techniques (e.g., queueing theory, system modeling, optimization)

• Experience analyzing transportation, logistics, or service systems

• Familiarity with data visualization tools (e.g., Power BI, Tableau)

• Experience supporting federal clients or working in DHS environments

• Ability to communicate technical concepts clearly to non-technical audiences

Preferred Qualifications

• Active DHS Public Trust BI or higher-level clearance within DHS.

Requirements

• Bachelor’s degree in Operations Research, Industrial Engineering, Data Science, Mathematics, Engineering, or a related quantitative field

• 3–5 years of relevant experience in data analytics, operations research, modeling, or a related discipline

• U.S. citizenship is required

Travel within the United States is required. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. No H1B Visas sponsorship.

Full-time

Hybrid remote