Staff Simulation Data Modeler

Accountabilities:

• • Lead catalog strategy across multiple segments, maintaining a structured view of entities across service branches, nations, and eras, including completion status, freshness, and confidence levels.
  • Translate customer and field feedback into a prioritized roadmap for catalog development in partnership with Customer Relations.
  • Research authoritative sources and establish clear standards, principles, and methodologies for creating and maintaining simulation entities.
  • Develop, evaluate, and defend quantitative models covering areas such as weapon effects, sensor performance, fuel consumption, survivability, and other system behaviors, partnering with Engineering on implementation.
  • Build and maintain relationships with subject matter experts to support complex or contested modeling decisions with real-world expertise.
  • Design and supervise agentic AI workflows, including prompts, review processes, and guardrails, to scale research, data entry, documentation, and testing while maintaining quality.
  • Define requirements for new productivity and authoring tools and collaborate with Engineering to develop solutions that improve the simulation content workflow.
  • Lead verification, validation, and accreditation activities across multiple catalog segments, ensuring data is accurate, tested, traceable, and defensible.
  • Direct the development of automated test batteries and continuous testing processes that identify regressions, inconsistencies, and data-quality issues before they reach customers.
  • Organize competitive wargames with simulation content teams and Customer Relations to challenge assumptions, test entities, and refine parametric data.
  • Establish documentation standards and create internal and external-facing knowledge materials that clearly explain modeling logic, assumptions, and source material.
  • Train and mentor analysts and contributors on established tradecraft, modeling standards, rubrics, and verification and validation practices.
  • Serve as an escalation point for difficult technical decisions and communicate and defend conclusions effectively with customers and subject matter experts.

  Requirements

  • Strong research, analytical, and critical-thinking skills, with the ability to make defensible assumptions when information is incomplete, inconsistent, or conflicting.
  • Demonstrated experience directing AI agents or agentic workflows through clear instructions, structured review checkpoints, and effective quality controls.
  • Strong quantitative reasoning skills and the ability to develop, interpret, and sanity-check formulas and performance models, even without being a production software developer.
  • Proven ability to organize and maintain large, structured datasets or catalogs containing hundreds of items while tracking freshness, accuracy, priorities, and data confidence.
  • Excellent written and verbal communication skills, with the ability to create precise standards, methodologies, and knowledge documentation that others can consistently follow.
  • A strong simulation or wargaming mindset, with a commitment to validating whether models accurately represent reality rather than simply ensuring that systems function technically.
  • Ability to operate independently, make sound technical judgments, and serve as an escalation point for contested or ambiguous modeling decisions.
  • Comfort defending technical assumptions and recommendations directly with customers, engineers, and subject matter experts.
  • Experience with game modding tools, simulation editors, or simulation authoring environments is preferred.
  • Experience collaborating with Engineering on test automation, QA tooling, or workflow automation is a plus.
  • Familiarity with military doctrine, force structures, military platforms, or performance data is advantageous.
  • Familiarity with version control and bug-tracking systems is preferred.
  • Experience mentoring others or establishing technical standards adopted by a wider team is a plus.

  Benefits

  • Opportunity to work on mission-critical simulation and AI-powered technology addressing complex real-world challenges.
  • High-impact Staff-level role with significant ownership over simulation data quality, modeling standards, and catalog strategy.
  • Collaboration with multidisciplinary teams spanning engineering, customer relations, simulation content, and subject matter expertise.
  • Opportunity to shape and expand modern agentic AI workflows for research, modeling, testing, and documentation.
  • Distributed work environment with opportunities to collaborate with teams and customers in operational settings.
  • Strong emphasis on autonomy, technical judgment, continuous learning, and meaningful ownership.
  • Additional compensation, benefits, and employment terms may vary based on location and applicable company policies.