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UNION This range is provided by UNION. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range
$110,000.00/yr - $190,000.00/yr Union Technologies is reindustrializing Americas 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. Headquartered in Dallas, Texas, UNION is dedicated to restoring Americas industrial strength and guaranteeing deterrence for the century ahead. We recently emerged from stealth with $50M in funding led by top?tier venture investors and strategic partners. Read more in our Press Release. Job Summary
We need you to help unlock the power of data in defense manufacturing building AI?driven insights that predict perfection and prevent failures in high?stakes production. Have you developed machine learning models in manufacturing or aerospace settings? Do you thrive on dissecting massive datasets to forecast issues and boost quality? Have you turned statistical analyses into real?world process wins using tools like Python and Power BI? Do you want to be part of a culture that demands data?backed excellence, where every insight fortifies national security and operational efficiency? We need a seasoned Senior Data Scientist to develop advanced analytics and machine learning models for optimizing manufacturing processes and product quality in defense?grade steel forgings. With 57 years of experience in data science or advanced analytics within manufacturing, aerospace, or defense, plus expertise in Python, R, SQL, Minitab, R?Shiny, Power BI, machine learning, predictive modeling, SPC, CpK/PpK analysis, and root cause tools like 8D and 5?Why. Key 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. Serve as a technical mentor for junior data analysts and engineers on statistical and machine learning techniques.
Required Qualifications
Education: Bachelors or Masters in Data Science, Statistics, Computer Science, Industrial Engineering, or related field. Experience: 57 years in data science or advanced analytics within manufacturing, aerospace, or defense; experience with process optimization preferred.
Technical Skills
Programming: Python, R, SQL Tools: Minitab, R?Shiny, Power BI, Excel Methods: Machine Learning, Predictive Modeling, SPC, CpK/PpK analysis
Work Style
Analytical thinker; hands?on problem solver; thrives in high?pressure environments. Soft Skills
Strong communicator; collaborative; able to translate complex data insights into actionable recommendations. Preferred Qualifications
Familiarity with defense standards (MIL?STD, ITAR). Experience with manufacturing data systems (MES, ERP) and IoT sensor data. Knowledge of Six Sigma and Lean principles. Exposure to cloud platforms (AWS, Azure) for data pipelines and model deployment.
Seniority level
Mid?Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Defense and Space Manufacturing Exceptional talent shouldn't be bound by geography. If you're ready to relocate to
Dallas, TX
and join us in reindustrializing Americas defense backbone, we'll make it easyand for those who move quickly, additional incentives may be available. Join the mission. We'll handle the move. Referrals increase your chances of interviewing at UNION by 2x #J-18808-Ljbffr
Sprachkenntnisse
- English
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