Highlights
Collaborate on groundbreaking projects, work at a cutting-edge research center, and contribute to GE Aerospace's mission of sustainable flight.
Description
Job Summary
pWe are seeking a Data Scientist to develop and implement AI solutions for various disciplines at GE Aerospace. You will design and deploy machine learning models, analyze large datasets, and ensure high data quality in our multidisciplinary research center.
Responsibilities
- Understand business problems and develop data science solutions
- Design, develop, and implement machine learning and AI models
- Analyze and preprocess large datasets for model training
- Ensure data quality throughout the pipeline
- Evaluate model performance and iterate on improvements
- Work closely with Data Engineering teams to deploy models into production environments
- Maintain comprehensive documentation of models and processes
Required Skills
- Data preprocessing and analysis
- Python programming and web frameworks
- Cloud platform services (AWS, Azure, or Google Cloud)
- Machine learning algorithms (CART, SVM, RF, Neural Nets)
- Data visualization and storytelling for stakeholders
Required Skills Explained
- Proficiency in Python, which is essential for implementing machine learning models and algorithms.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud to deploy data science models into production environments.
- Demonstrated skill in applied analytics, descriptive statistics, feature extraction, and predictive analytics on datasets.
- Ability to use cross-validation techniques for building robust models from large datasets.
- Experience with visualization tools and storytelling for stakeholders.
Who is this for
pThis role is perfect for someone with a strong technical background in data science. You should have experience with Python and cloud platforms, along with the ability to collaborate effectively with cross-functional teams.
Why This Job is a Good Opportunity
ulliWork in a multidisciplinary research and engineering center that has contributed to hundreds of aviation patents.liPotential to contribute to groundbreaking advancements in engine technologies, advanced materials, and additive manufacturing.liOpportunity to collaborate with smart and collaborative people in an innovative environment.liRelocation assistance provided for out-of-town candidates.
Interview Preparation Tips
- Prepare examples of your previous work with data science projects and how you have applied machine learning models.
- Demonstrate your proficiency in Python and other relevant programming languages by discussing specific projects or challenges you have overcome.
- Discuss your experience with cloud platforms and any tools you have used for deploying machine learning models into production environments.
- Showcase your ability to communicate complex data insights through effective visualization techniques.
Career Growth in This Role
pThe role of a Data Scientist at GE Aerospace offers significant opportunities for career growth. As you gain experience, you can move towards more senior positions where you will lead larger projects and mentor junior team members. The company values innovation and continuous learning, so there are chances to explore new technologies and methodologies in the field of artificial intelligence and machine learning.pAdditionally, being part of a multidisciplinary center like JFWTC provides exposure to diverse business processes and teams, which can enhance your technical skills as well as your understanding of the aerospace industry. This role also opens doors for international collaborations and projects, providing valuable global experience.
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Skills
Frequently Asked Questions
What kind of datasets will I be working with?You will work with large, complex datasets from various business processes.
Will there be opportunities for professional growth?Yes, we offer career advancement and learning opportunities to help you grow professionally.
What kind of support is available for new hires?We provide relocation assistance and comprehensive onboarding support.
