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.

Job Description

Roles and Responsibilities:

As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders.

In this role, you will:

• 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.

Minimum Qualifications:

• 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
• Note: Military experience is 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
• 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.
• Demonstrated awareness of how to succeed in ambiguous circumstances

Note:

To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

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