Sr Data Scientist

Sr Staff Data Scientist –
GE Aerospace

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.

• 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 proliferation.
• Generate reports, annotated code, and other project 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.

• Bachelor’s degree from an accredited university or college with minimum 6 years of professional experience OR associate’s degree with minimum 8 years of professional experience.
• At least 4 years of proficiency in Python (mandatory).
• At least 3 years of demonstrated expertise in cloud platforms (e.g., AWS, Azure, Google Cloud, Databricks) and their machine learning services.
• At least 3 years of demonstrated expertise working and leading in team settings in various roles.
• Military experience is equivalent to professional experience.

• Legal authorization to work in the U.S. is required. This position does not sponsor employment visas, now or in the future.

• 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.

To comply with U.S. 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, the job description 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. It is not intended to amend or otherwise restrict/expand the duties required of each individual employee as set out in their…