Union Technologies is reindustrializing America’s defense manufacturing base with a first-of-its-kind Factories-as-a-Stockpile™ model, integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale. We need a Senior Data Scientist to help unlock the power of data in defense manufacturing - building AI-driven insights that predict perfection and prevent failures in high-stakes production.
Requirements
- Python
- R
- SQL
- Minitab
- R-Shiny
- Power BI
- Machine Learning
- Predictive Modeling
- SPC
- CpK/PpK analysis
- Familiarity with defense standards (MIL-STD, ITAR).
- Experience with manufacturing data systems (MES, ERP) and IoT sensor data.
- Exposure to cloud platforms (AWS, Azure) for data pipelines and model deployment.
Responsibilities
- Develop advanced analytics and machine learning models to optimize manufacturing processes and improve product quality for defense-grade steel forgings.
- Analyze large-scale production and quality datasets to identify trends, predict failures, and drive process improvements.
- Apply statistical methods (CpK/PpK, SPC) and predictive modeling to ensure process capability and stability.
- Build dashboards and visualization tools using Python, R-Shiny, and Power BI for real-time process monitoring.
- Collaborate with process engineers to integrate data-driven insights into shop-floor operations.
- Implement root cause analysis using data (8D, 5-Why) and support continuous improvement initiatives.
- Drive automation of data collection and reporting systems to reduce manual effort and improve accuracy.
Other
- 5–7 years of experience in data science or advanced analytics within manufacturing, aerospace, or defense
- Analytical thinker; hands-on problem solver; thrives in high-pressure environments.
- Strong communicator; collaborative; able to translate complex data insights into actionable recommendations.
- Knowledge of Six Sigma and Lean principles.
- Relocate to Dallas, TX
