Senior Modeling& Simulation/ Predictive Analytics Specialist

Peraton•Ashburn, VA

1d•$86,000 - $138,000

About The Position

Peraton is seeking a highly experienced Senior Modeling & Simulation/Predictive Analytics Specialist to lead the design, development, and validation of advanced computational models that drive strategic analysis, forecasting, and mission-critical decision-making in support of the CBP Analytics and Intelligence Support Program. This role requires an expert who can translate complex operational systems into scalable, defensible simulation frameworks. The ideal candidate combines deep quantitative expertise, strong systems thinking, and disciplined software engineering practices to deliver reproducible, high-impact analytic solutions within a secure, high-assurance federal environment. Support will be provided across multiple mission environments: Ashburn, VA Sterling, VA Washington, D.C.

Requirements

Minimum of 8 years with BS/BA; 6 years with MS/MA; or 12 years with HS diploma/equivalent in lieu of a degree
5+ years of experience in modeling & simulation or quantitative analytics
Experience with supervised and unsupervised machine learning methods (classification, clustering, anomaly detection)
Expertise with modeling paradigms (e.g., agent-based, discrete-event, system dynamics, stochastic)
Strong proficiency in Python and modeling/simulation frameworks
Deep understanding of VV&UQ, experimental design, calibration, and uncertainty analysis
Demonstrated software engineering best practices (modular design, testing, version control, performance optimization)
Proven ability to work independently in complex, mission-driven environments
Active Top Secret clearance
Ability to obtain and maintain CBP BI suitability
U.S. Citizenship required

Nice To Haves

Bachelors degree in Applied Mathematics, Operations Research, Computer Science, Engineering, Statistics, or related field
Experience with cloud/HPC scaling, distributed computing (Ray, Dask, Spark), or GPU acceleration
Familiarity with graph analytics (NetworkX, Neo4j), GIS/geospatial modeling, or streaming data platforms (Kafka)
Knowledge of Bayesian statistics, probabilistic programming (PyMC, Stan), or advanced optimization methods
Experience with tools such as AnyLogic, Arena, Simul8, ns-3, or OMNeT++
Prior experience supporting federal, intelligence, or other high-assurance environments
Relevant certifications in cloud, modeling, or analytics platforms

Responsibilities

Design and implement advanced modeling and simulation solutions (agent-based, discrete-event, system dynamics, stochastic, and network/graph models) aligned to mission needs.
Develop and refine targeting rule sets and machine learning models using CBP transactional, historical, and classified data to support threat assessment obejctives.
Perform data profiling, SQL-based extraction, and feature engineering in preparation for model development.
Develop digital twins and simulation frameworks using real-world and historical data.
Plan and execute experiments (e.g., DOE, sensitivity analysis) to support forecasting and decision-making.
Lead verification, validation, and uncertainty quantification (VV&UQ) efforts to ensure model credibility.
Build scalable, high-performance simulation tools using Python, C++, or similar technologies.
Integrate and manage data from multiple sources, ensuring quality, traceability, and reproducibility.
Translate complex model outputs into clear insights, visualizations, and decision-support products.
Deploy and maintain models in cloud and containerized environments; support CI/CD workflows.
Ensure compliance with security, governance, and documentation standards in a classified environment.
Collaborate with cross-functional teams and communicate findings to technical and non-technical stakeholders.
Operate independently with strong ownership of modeling efforts and deliverables.