Data Scientist: Mission Engineering
Core
Designing experimental constructs and statistical pipelines to extract decision-quality signals from large-scale military simulations and trade studies.
Role type
Senior IC data scientist (statistical methodology & simulation analysis)
Builds
Scalable Python-based analytical pipelines, surrogate models, and decision-support reports for defense and intelligence programs.
Domain
Defense & Intelligence / Simulation & Modeling
Deliverable
production ML models | dashboards & analysis
Required skills
experimental design (DOE, space-filling), Bayesian inference, uncertainty quantification, surrogate modeling, Python (Pandas, NumPy, PyTorch, PyMC), data visualization, reproducible software engineering
Preferred skills
military simulation analysis (AFSIM, ESAMS, STK), Monte Carlo methods, Master's/PhD in quantitative fields
Technologies
Python, PyTorch, PyMC, Pandas, NumPy, SciPy, Matplotlib, Seaborn, CuPy, MATLAB, R, Linux
Responsibilities
Design rigorous experimental constructs for large-scale simulation campaigns; Apply advanced statistical methods to simulation output; Build scalable data pipelines for ingestion and analysis; Develop ML and statistical surrogate models; Set team standards for data management and reproducibility; Translate operational questions into analytical approaches; Author technical reports and present results to senior audiences; Mentor peers on experimental design and statistical methodology
Seniority
Senior, hands-on IC with mentorship responsibilities