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GE Aerospace · 2 weeks ago

Sr Staff Data Scientist

Alpharetta, GA

Full-time

Onsite

Senior Level, Lead/Staff

6+ years exp

GE Aerospace is a leader in aviation technology and consultancy, seeking a Sr Staff Data Scientist to lead teams in solving complex statistical and machine learning challenges. The role involves developing and deploying machine learning models and collaborating with cross-disciplinary teams to drive AI business solutions using large data sets.

AerospaceCommercialManufacturing

No H1B

U.S. Citizen Only

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 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

Mentor colleagues in technical areas and drive standardization across the analytics enterprise

Review data science/AI projects for technical rigor

Qualification

PythonCloud platformsMachine learning modelsData managementCI/CD pipelinesPrescriptive analyticsCritical thinkingCustomer value deliveryChange agentAmbiguous environmentsProblem-solvingTeam collaboration

Required

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