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Systems Planning and Analysis

Provides data-driven national security analytics

Operations Research Analyst – Senior/SME

Data ScienceConfirmed live in the last 24 hours
Full-timeChantilly, VA, USAIn-person

About the Job

Requirements

  • U.S. citizenship and an active TS/SCI clearance at the time of application, with the ability to obtain and maintain SAP clearance.
  • A bachelor's degree in Mathematics, Statistics, Engineering, Physical Science, Operations Research, Data Science, or a related field.
  • At least 10 years of experience applying operations research and modeling, simulation, and analysis methods to complex systems, mission analyses, or engineering assessments.
  • Demonstrated expertise in modeling frameworks, statistical analysis, optimization, simulation techniques, or predictive analytics.
  • Ability to lead analytical teams and validate complex technical products.
  • Proficiency with analytical tools including STK, CyberAssasin, Python, R, MATLAB, and modeling environments.

Responsibilities

  • Lead development and validation of analytical models, simulations, and scenario constructs supporting mission engineering and system-level analysis.
  • Define analytical assumptions, measures of effectiveness and measures of performance, and performance metrics; ensure technical rigor and traceability across all modeling, simulation, and analysis products.
  • Conduct mission-level assessments, architecture evaluations, trade studies, and alternatives analyses to identify capability gaps and quantify system performance.
  • Mentor junior analysts and guide multidisciplinary teams in analytical best practices, model development, and data-driven decision support.
  • Integrate statistical, operations research, and forecasting methods—including reliability analysis and predictive sustainment modeling—to support lifecycle engineering.
  • Review and validate analytical outputs for accuracy, repeatability, and alignment with engineering and program objectives.
  • Present results and recommendations to engineering leadership and stakeholders in clear, decision-focused formats.

Desired Qualifications

  • A master's degree in Operations Research, Applied Mathematics, Statistics, Systems Engineering, or a related technical field; a PhD is preferred.
  • Experience supporting architecture development, digital engineering, model-based systems engineering, or lifecycle analysis.
  • Background in reliability engineering, forecasting, anomaly detection, or risk modeling.

About the Company

Systems Planning and Analysis

Provides data-driven national security analytics

SPA is a global advisory firm that supports U.S. national security decision-making by using modeling, simulation, and rigorous analysis to inform programs across the Navy, DoD, Homeland Security, and Energy. Its products rely on building models, running simulations, and applying data science, wargaming, and digital engineering in an advanced analytics lab to forecast outcomes and compare options. The firm differentiates itself through a 50-year track record, strong government relationships, and growth via acquisitions that broaden capabilities in space, data science, and wargaming, plus an in-house Office of Innovation. Its goal is to accelerate the delivery of accurate, actionable analyses and new capabilities that help defense leaders choose the best paths for programs and investments.

Company size
1,001-5,000
Company stage
N/A
Total funding
$20.1M
Headquarters
Alexandria, VA
Founded
1972

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