Sr Staff Data Scientist

GE Aerospace • Cincinnati, OH

49d

About The Position

As a Sr Staff Data Scientist, you will lead and work within teams as a technical domain expert addressing statistical, machine learning, and artificial intelligence problems related to supply chain forecasting. 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. 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.

Requirements

• Bachelor’s degree from accredited university or college with minimum of 6 years of professional experience OR associates degree with minimum of 8 years of professional experience
• 4 years proficiency in Python (mandatory)
• 3 years demonstrated expertise in cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services
• 3 years demonstrated expertise working and leading in team settings in various roles
• 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, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

Nice To Haves

• Demonstrated skill in defining and delivering customer value.
• Demonstrated expertise communicating complex information to executive stakeholders
• Demonstrated expertise in critical thinking and problem-solving methods
• Demonstrated experience deploying and managing CI/CD pipelines
• Demonstrated skill in data management methods and analytic scaling
• Demonstrated skill in prescriptive analytics and analytic prototyping.
• Demonstrated skill in solutions integration
• Demonstrated skill in serving as a change agent.
• Demonstrated skill in working in ambiguous environments.

Responsibilities

• Understand business problems and identify opportunities to implement data science solutions.
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Design, develop, and deploy machine learning models and algorithms
• Work in technical teams on the 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).
• Collaborate with data scientists to optimize RAG and LLM pipelines for performance and accuracy.
• Utilize semantic and ontology technologies to enhance data integration and retrieval.
• Ensure data is semantically enriched to support advanced analytics and machine learning models.
• Interact with cloud services and develop and deploy models within cloud environments such as AWS, Azure, Google Cloud, and Databricks
• 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 product ionization
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Communicate methods, findings, and hypotheses with stakeholders.
• Mentor colleagues in technical areas and drive standardization across the analytics enterprise
• Review data science/AI projects for technical rigor

Benefits

• GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation.
• Relocation Assistance Provided: Yes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees