GE Aerospace · 7 hours ago
Staff Data Scientist
GE Aerospace is a leading company in the aerospace sector, seeking a Staff Data Scientist to tackle complex statistical, machine learning, and artificial intelligence challenges. The role involves developing and deploying machine learning models, collaborating with cross-disciplinary teams, and driving AI business solutions using large data sets.
AerospaceCommercialManufacturing
Responsibilities
Design, develop, and deploy machine learning models and algorithms
Understand business problems and identify opportunities to implement data science solutions
Develop, verify, and validate analytics to address customer needs and opportunities
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)
Ensure efficient data retrieval and augmentation processes to support LLM training and inference
Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
Communicate methods, findings, and hypotheses with stakeholders
Qualification
Required
Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience
3 years of proficiency in Python (mandatory)
2 years' experience with machine learning frameworks and deploying models into production environments
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status, employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government
Preferred
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services
Experience with handling unstructured data, including images, videos, and text
Understanding of computer vision techniques and tools
Ability to work in a fast-paced, dynamic environment
Experience with data preprocessing and augmentation tools
Demonstrated expertise in critical thinking and problem-solving methods
Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services
Demonstrated skill in defining and delivering customer value
Demonstrated expertise working in team settings in various roles
Demonstrated expertise in presentation and communications skills
Experience with deep learning and neural networks
Knowledge of data governance and compliance standards
Benefits
Great work environment
Professional development
Challenging careers
Competitive compensation
Relocation Assistance Provided: Yes
Company
GE Aerospace
GE Aerospace is a provider of jet and turboprop engines, as well as integrated systems.
Funding
Current Stage
Public CompanyTotal Funding
$2.01BKey Investors
JobsOhioUS Department of EnergyAir Force Research Laboratory
2025-07-22Post Ipo Debt· $2B
2025-01-10Grant· $9M
2024-04-02IPO
Leadership Team
Recent News
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