Interface with senior leaders, stakeholders, end users, and subject matter experts to define production model requirements, validate implemented models, and conduct demonstrations
Collaborate with a multi-disciplinary team to define, design, and implement new production model configurations and software features for a Python-based simulation application
Employ data analytic methods (e.g., data collection and processing, statistical analysis, distribution fitting, etc.) to maintain production model input parameters
Conduct verification, validation, and testing of new and revised production model configurations and software features
Deliver presentations and demonstrations to leaders and stakeholders across multiple levels of the organization, functional disciplines, and business units
Participate in code reviews and enforce adherence to coding standards and best practices

Typically requires a bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM)
minimum of 10 years of prior relevant experience
Experience collaborating with customers to define requirements and measures of success
Experience with simulation modeling and analysis processes for complex real-world systems: Problem definition, data processing, statistics, Figures of Merit (FoM), model design and translation, verification and validation, visualizations, etc.
Experience with multiple Python libraries and software packages: NumPy, Pandas, SimPy, Panel, Bokeh, Pydot, PyQt, Plotly Dash, HoloViz, Graphviz, etc.
Experience in interacting with software through a terminal interface: Bash, Powershell, iPython, etc.
The ability to obtain and maintain a U.S. government issued security clearance is required.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Senior Principal Engineer – Modeling and Simulation

Key skills