Senior Operations Research Analyst

Job Locations 4 hours ago(9/29/2025 2:32 PM)
Job ID
2025-11795
Posted Date
Consulting/Strategy
Job Location
US-DC-Washington

Company Overview

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

 

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

 

Why Join QinetiQ US?

 

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

Position Overview

QinetiQ US is seeking a highly skilled Senior Operations Research Analyst (SORA) to support a federal law enforcement agency client. This role is critical in providing advanced analytical capabilities to support the agency leadership in decision-making, policy formulation, and strategic planning.
The SORA will be responsible for formulating and applying mathematical modeling and optimization methods to develop and interpret information that assists agency leadership with critical operational decisions. This position requires expertise in predictive analytics, data visualization, operations research, and strategic planning to support the Law Enforcement Lifecycle.

Responsibilities

Predictive Analytics & Modeling

  • Lead development, maintenance, and enhancement of agency suite of Discrete Event Simulation (DES) models to capture all components of the Law Enforcement Lifecycle
  • Provide subject matter expertise in analytics and reporting requirements meetings with agency staff and stakeholders
  • Identify gaps in agency decision support tool development and recommend improvements for data collection, quality enhancement, and forecasting methodologies
  • Evaluate and implement artificial intelligence, data visualization, and business intelligence platforms including Python, GitHub, Qlik, Tableau, ArcGIS, Databricks, and Palantir Foundry
  • Maintain and improve agency-related geospatial capabilities and Logistics Optimization Decision Support Tools
  • Perform recurring model maintenance, support, and governance activities
  • Prepare models for official DHS accreditation including comprehensive documentation of design, methodology, requirements, and decision-making processes

Data Visualization & Engineering

  • Design and develop advanced visualizations using standard and non-standard datasets
  • Build and maintain data pipelines ensuring smooth data flow from multiple sources to data warehouses
  • Perform extract, transform, load (ETL) operations to prepare data for modeling and analysis
  • Implement data quality reviews, cleaning, and validation processes
  • Integrate structured and unstructured data from disparate sources
  • Analyze data to identify patterns, insights, and trends
  • Design scalable systems capable of handling large data volumes
  • Implement security measures to protect sensitive data and ensure compliance with privacy regulations

Strategic Planning & Assessment

  • Evaluate and recommend logistics systems, processes, and tools for agency operations
  • Support business process re-engineering and requirements gathering for electronic data capture systems
  • Create user guides, standard operating procedures, and training materials
  • Perform change management activities to streamline adoption of new tools and processes
  • Support creation of process efficiencies within headquarters and field operations

Advanced Research & Studies

  • Conduct rapid deployment support for special projects including proof of concepts and prototypes
  • Perform rigorous academic research and evidence building to support agency modernization
  • Conduct issue investigation, root cause analysis, and best practice evaluation
  • Support new process development and implementation
  • Provide change management support for field deployment of new technologies

Project Management Support

  • Coordinate regularly with Unit Chief and federal staff on project status and recommendations
  • Manage contract staffing changes and onboarding processes
  • Maintain coverage during standard business hours (9 AM - 5 PM EST) and provide emergency contact for high-priority weekend/holiday requests
  • Communicate schedule changes and staffing updates in advance
  • Assist in the professional and technical development of fellow staff

Required Qualifications

Education & Experience

  • Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Data Science, Industrial Engineering, or related quantitative field
  • Minimum 10+ years of experience in operations research, predictive modeling, and data analytics
  • Experience with government contracts and federal agency support preferred
  • Experience in law enforcement, immigration, or homeland security domains highly desirable

Technical Skills

  • Programming & Analytics: Advanced proficiency in Python, R, SQL, and statistical analysis
  • Business Intelligence Tools: Expertise with Tableau, Qlik, Power BI, or similar platforms
  • Database Management: Experience with large-scale database systems and data warehousing
  • Modeling Software: Proficiency in discrete event simulation, optimization software, and mathematical modeling tools
  • Geographic Information Systems: Experience with ArcGIS or similar geospatial analysis tools
  • Cloud Platforms: Familiarity with Databricks, AWS, Azure, or similar cloud-based analytics platforms
  • Version Control: Experience with GitHub or similar collaborative development platforms

Core Competencies

  • Strong mathematical and statistical modeling capabilities
  • Expertise in machine learning and artificial intelligence applications
  • Advanced data visualization and storytelling abilities
  • Experience with ETL processes and data pipeline development
  • Knowledge of data governance and security best practices
  • Understanding of algorithmic bias mitigation techniques
  • Project management and stakeholder communication skills
  • Security Requirements

    • Ability to obtain and maintain appropriate federal security clearance.
    • Background investigation required.
    • Must be U.S. citizen.

 

 

 

Preferred Qualifications

  • Experience with Palantir Foundry or similar advanced analytics platforms
  • Background in logistics or operations analysis
  • Federal security clearance or ability to obtain clearance
  • Experience with statistical software packages (SAS, SPSS, etc.)
  • Knowledge of project management principles
  • Understanding of change management concepts
  • Exposure to immigration or law enforcement operations

Company EEO Statement

 

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

 

QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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