Data Scientist (TS/SCI)
Core
Design, develop, validate, and demonstrate integrated analytical capabilities for pattern recognition, anomaly detection, predictive analytics, and decision support in a Ubiquitous Technical Surveillance (UTS) environment to enhance Joint Force survivability.
Role type
Senior IC Data Scientist (National Security)
Builds
Mission-agnostic risk-management tools and data solutions for commanders and operators across the spectrum of conflict.
Domain
National Defense / Ubiquitous Technical Surveillance (UTS)
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, predictive analytics, deep learning, time-series analysis, model validation, explainable AI, feature engineering, data manipulation, machine learning libraries (scikit-learn, PyTorch, TensorFlow), automation tools, LLM integration
Preferred skills
graph analytics, Personnel Recovery mission experience
Technologies
Spark, Hadoop, Python, SQL, scikit-learn, PyTorch, TensorFlow
Responsibilities
Automate and maintain data extraction, cleaning, processing, and analysis workflows; Process and analyze structured and unstructured datasets using big data or cloud-native frameworks; Develop, test, and evaluate predictive models and statistical analyses; Contribute to end-to-end data science and data engineering workflows; Write clear documentation of methods, assumptions, and results; Support the use of Large Language Models (LLMs) within existing systems.
Seniority
Senior, hands-on IC
