Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $57k - $135k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a world-leading provider of jet and turboprop engines, aircraft components, and integrated systems for commercial, military, business, and general aviation. The company designs, manufactures, and services aircraft engines and related systems (avionics, mechanical systems, integrated power systems), and provides aftermarket support including engine maintenance, parts (Unison products), materials and asset management. GE Aerospace serves both civil and defense markets and focuses on performance-based navigation and comprehensive aftermarket services.

📋 Description

• Develop and evaluate machine learning models using Python to analyze time-series and telemetry data • Perform data exploration, feature engineering, and preprocessing on structured and semi-structured datasets • Use natural language processing and probabilistic modeling to extract data from maintenance records • Develop physics-informed models based on known signal relationships for systems with limited historical data • Implement algorithms for anomaly detection, predictive modeling, and trend analysis in operational data • Support model validation, performance evaluation, and documentation • Contribute to deploying models into production and embedded environments with engineering teams • Collaborate with data visualization and software teams to integrate model outputs into dashboards and decision-support tools • Document methodologies, assumptions, and results for technical and non-technical stakeholders • Stay current with emerging machine learning techniques and apply best practices • Support travel or off-site work as needed • Perform other duties as assigned • Support Department of Defense customers on Predictive Maintenance and Logistics Team projects involving ML/AI and cloud infrastructure • Collaborate with engineers, data visualization specialists, and program leadership to transition analytical solutions from research into operational environments

🎯 Requirements

• Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field with 0+ years of experience, or Bachelor’s degree in a related field with 2+ years of relevant experience, or equivalent experience in lieu of a degree • Proficiency in Python for data analysis and machine learning • Experience with common machine learning libraries, such as scikit-learn, PyTorch, TensorFlow, or similar • Experience with natural language processing techniques and toolchains • Familiarity with time-series data, telemetry, or sensor-based datasets • Working knowledge of NumPy, Pandas, and SciPy • Ability to communicate technical concepts clearly in written and verbal form • Strong analytical thinking and problem-solving skills • Must be a U.S. Citizen • Ability to obtain and maintain a security clearance • Preferred: experience applying machine learning to predictive maintenance, health monitoring, or operational analytics on time-series data systems • Preferred: experience extracting meaningful data from bulk maintenance records • Preferred: exposure to model deployment concepts, such as batch pipelines, APIs, or edge/embedded environments • Preferred: familiarity with cloud platforms or big data environments • Preferred: experience in a government or DoD context • Preferred: familiarity with the relationship between engine signals and performance • Preferred: knowledge of Git and collaborative development workflows

🏖️ Benefits

• Health benefits • Medical insurance • Dental insurance • Vision insurance • Basic life with AD&D • Short term disability • Long term disability • Ancillary benefits: voluntary life with AD&D, accident, critical illness, hospital, and pet • Spending accounts: HSA, FSA, and DCFSA • Paid time off • Holidays • 401(k), including company match • Tuition reimbursement • Parental, maternity, and military leaves • Annual discretionary bonus (for eligible roles) • Potential annual bonus