Overview
Job Description Summary
The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, and semantic analysis for finding structure in large data sets. The candidate will be responsible for executing data science projects under limited guidance from senior members to deliver business outcomes. This role requires a good technical background, strong problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams.
Role Overview
- Understand business problems and implement Data Science solutions.
- Design, develop, and implement machine learning and artificial intelligence models and algorithms.
- Understand various business processes pertaining to Analytics Development Process.
- Collect, preprocess, and analyze large datasets to be used for training and testing machine learning models.
- Ensure data quality and integrity throughout the data pipeline.
- Conduct experiments to develop model and evaluate model performance and iterate on model improvements.
- Under the guidance of senior members, work with Data Engineering teams to deploy data science models into production environments.
- Monitor and maintain deployed models to ensure they perform as expected.
- Under the guidance of senior members, work closely with data architects, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions.
- Optimize machine learning models for performance, scalability, and efficiency.
- Be aware of latest advancements in machine learning and artificial intelligence.
- Explore and implement new machine learning and artificial intelligence techniques and tools to enhance the team's capabilities.
- Maintain comprehensive documentation of machine learning models, algorithms, and processes.
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Key Skills
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Education Requirements
- Bachelors degree in Statistics, Machine Learning, Computer Science or related STEM fields (Science, Technology, Engineering and Math) with analytics development experience
Eligible Batch Years
GE Aerospace
GE Aerospace is a leading global manufacturer and service provider of aircraft engines, systems, and avionics, serving both commercial and military aviation markets. Formerly part of General Electric's aviation division, GE Aerospace operates as a distinct entity focused on advancing flight technology and delivering high-performance propulsion solutions. With a workforce exceeding 50,000 employees worldwide, the company is renowned for its engineering excellence, innovation, and long-standing partnerships with major aircraft manufacturers and defense organizations.
The company's mission is to invent the future of flight by developing cutting-edge propulsion systems and digital solutions that improve efficiency, reduce environmental impact, and enhance safety. GE Aerospace has recently been in the spotlight for its advancements in sustainable aviation technologies, including hybrid-electric propulsion and alternative fuels. Its engines power a significant portion of the world's commercial airline fleets, and it maintains a strong market position as one of the top aerospace suppliers globally.
Company Details
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Websitegeaerospace.com