Data Scientist, Mission Engineering

What this role involves

This role is responsible for statistical methodology for the Mission Engineering team at CHAOS Industries, designing experiments for large-scale simulation campaigns and building analytical pipelines to support defense analysis. The position involves developing surrogate models, uncertainty quantification, and setting standards for rigorous analysis. It is a foundational hire with the freedom to establish quantitative analysis practices.

Skills this posting asks for

• python
• statistical modeling
• design of experiments
• bayesian inference
• surrogate modeling
• sensitivity analysis
• uncertainty quantification
• machine learning
• data pipelines
• code review
• documentation
• simulation
• doe
• regression modeling
• metamodeling
• adaptive sampling
• sequential experimentation

Requirements

• Level: senior

From the employer’s posting

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster…