GE Aerospace
Staff Data Scientist
GE Aerospace - Cincinnati, Ohio, United States, 45208
Work at GE Aerospace
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Staff Data Scientist
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GE Aerospace
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Job Description Summary The Staff Data Scientist will work in teams addressing statistical, machine learning, and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Roles and 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.
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities 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 project artifacts to document, archive, and communicate your work and outcomes.
Communicate methods, findings, and hypotheses with stakeholders.
Minimum Qualifications:
Bachelor’s degree from an accredited university or college with a minimum of 3 years of professional experience OR an associate’s degree with a 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.
Note: Military experience is considered equivalent to professional experience.
Eligibility Requirement:
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.
Desired Characteristics:
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.
Knowledge of data governance and compliance standards.
Demonstrated awareness of how to succeed in ambiguous circumstances.
Additional Information: GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided:
No
#J-18808-Ljbffr
Staff Data Scientist
role at
GE Aerospace
Get AI-powered advice on this job and more exclusive features.
Job Description Summary The Staff Data Scientist will work in teams addressing statistical, machine learning, and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Roles and 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.
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities 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 project artifacts to document, archive, and communicate your work and outcomes.
Communicate methods, findings, and hypotheses with stakeholders.
Minimum Qualifications:
Bachelor’s degree from an accredited university or college with a minimum of 3 years of professional experience OR an associate’s degree with a 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.
Note: Military experience is considered equivalent to professional experience.
Eligibility Requirement:
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.
Desired Characteristics:
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.
Knowledge of data governance and compliance standards.
Demonstrated awareness of how to succeed in ambiguous circumstances.
Additional Information: GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided:
No
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