Engineering Data Scientist
Tasks
- Collaborate with engineers to solve manufacturing and inspection problems
- Combine manufacturing experience with data science for nuclear products and process research and development
- Develop agentic AI tools for plant use
- Develop machine learning models and processes for cause analysis
- Develop sensor platforms and imagery processing for development and production processes
- Develop standards for data structure and integrity for machine learning
- Establish machine and deep learning systems for predictive quality
- Implement large language models for productivity in engineering and administrative functions
- Perform advanced artificial intelligence projects ensuring protection of mission critical systems
- Propose data science work for customer funding
- Use visualization products including analytics 3D simulation and data models
Perks/Benefits
- Continuous learning and training
- Dental insurance
- Health insurance
- Mentorship programs
- Professional development opportunities
- Retirement plan
- Sponsorship for continuing education
Skills/Tech-stack
3D simulation | Artificial Intelligence | C++ | Computer Vision | Data Integrity | Deep learning | Image Processing | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | OpenCV | Predictive Analytics | Python | R | Signal Processing | TensorFlow
Education
Roles
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