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Company: SPA
Location: Alexandria, VA
Career Level: Associate
Industries: Manufacturing, Engineering, Aerospace

Description

Qualifications

Required:

  • Bachelor's degree and at least 3+ years of experience.
  • TS/SCI and able to receive DHS Suitability, and CBP Background Investigation.
  • Demonstrated experience developing or supporting analytical or statistical models for system performance evaluation.
  • Proficiency in data analysis and modeling tools such as Python, R, MATLAB, or similar platforms.
  • Understanding of statistical methods, performance metrics, and experimental design principles.
  • Ability to translate model outputs into actionable insights for decision-makers.
  • Experience working with complex datasets from technical or operational environments.
  • Able to work fully onsite based on client needs.

Desired:

  • Active DHS Suitability or CBP Background Investigation.
  • Experience supporting DHS, DoD, or other Federal T&E or operational assessment efforts.
  • Familiarity with border security technologies such as surveillance systems, sensor arrays, unmanned platforms, or detection systems.
  • Experience with modeling and simulation techniques, geospatial or temporal modeling, or operations research methods.
  • Knowledge of test modeling frameworks, verification and validation techniques, and system evaluation criteria.


Responsibilities

The candidate will play a critical role in extracting, structuring, cleansing, analyzing, and visualizing data from test events and operational demonstrations. In addition to traditional data analysis, the candidate will contribute significantly to the development, implementation, and refinement of test models—including analytical and statistical models used to evaluate system performance against defined test objectives. Will collaborate closely with test engineers, systems analysts, and government stakeholders to ensure that modeling and data analysis efforts support rigorous, evidence-based assessments of technology effectiveness and operational suitability. Extract and integrate data from structured test events, field trials, and operational demonstrations. Cleanse, transform, and manage data to prepare it for analysis and modeling. Conduct statistical and computational analysis to identify trends, variances, and performance metrics. Develop and apply test models to simulate, predict, or evaluate system performance under various conditions. Support design, validation, and refinement of test models in alignment with test objectives and evaluation frameworks. Build dashboards, visualizations, and reports to clearly communicate analysis and model results to technical and non-technical audiences. Collaborate with T&E teams to ensure models and data analysis align with system requirements and operational scenarios. Assist in the development of test plans, modeling strategies, data collection methodologies, and post-test reporting. Contribute to performance assessments, recommendations, and lessons learned for acquisition and deployment decisions.


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