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Data Scientist - GE Aerospace
Data Scientist
Data Scientist driving AI and ML solutions for aerospace, turning large datasets into actionable insights using Python, statistical modeling, and operations research techniques.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning and AI models to solve complex aerospace problems.
- Apply statistical methods and operations research to uncover patterns and optimize processes.
- Perform semantic analysis and data mining on large, heterogeneous datasets.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions.
- Document methodologies, validate results, and present findings to stakeholders.
Requirements
- Proficiency in Python and related data science libraries (pandas, scikit‑learn, TensorFlow/PyTorch).
- Strong foundation in statistical analysis, probability, and machine learning algorithms.
- Experience with operations research techniques such as optimization, simulation, or queuing theory.
- Knowledge of natural language processing or semantic analysis is a plus.
- Excellent problem‑solving skills and ability to work independently with minimal supervision.
Skills
pythonmachine learning