Data Science Specialist
Core
Develop and implement AI/ML solutions to find structure in large datasets and deliver business outcomes for GE Aerospace.
Role type
Data Science Specialist (IC)
Builds
Production ML models and AI solutions for aviation/engineering domains
Domain
Aerospace / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Gen AI/LLM, statistical methods, operations research, semantic analysis, data preprocessing, model evaluation, CI/CD pipelines, Docker, Git, knowledge graphs
Preferred skills
Python web frameworks, cloud platforms (AWS/Azure/GCP), CART/SVM/RF/Neural Net models, cross-validation, hypothesis testing, data visualization, modular coding practices
Technologies
Python, SQL, Docker, GitHub Actions, AWS CodeBuild, Git, AWS, Azure, Google Cloud
Responsibilities
Design and implement ML/AI models and algorithms; collect and preprocess large datasets; ensure data quality and integrity; conduct experiments to evaluate and iterate on model performance; deploy models into production environments with data engineering teams; monitor and maintain deployed models; translate business requirements into technical solutions; optimize models for performance and scalability; maintain documentation of models and processes.
Seniority
Mid-level IC (Master's/PhD required, limited guidance from seniors)