Predictive Analytics Developer
Core
Develop and oversee automation and reporting tools for aircraft health monitoring and predictive maintenance, analyzing operational data to improve fleet reliability and safety.
Role type
Predictive Analytics Developer (Data Science & Engineering)
Builds
Automated reliability data reporting tools, electronic forms for data capture, and predictive maintenance systems within the Skywise platform.
Domain
Aviation / Aircraft Maintenance / Predictive Analytics
Deliverable
production ML models | product features
Required skills
Python, SQL, statistical analysis and modeling (linear/logistic regression, machine learning), data mining, root cause analysis, failure mode analysis, database design, data segmentation
Preferred skills
Aviation systems knowledge (A319/A320/737 MAX), Skywise platform experience, application development for aircraft data analysis
Technologies
Python, SQL, R, SPSS, SAP, Skywise
Responsibilities
Coordinate with OEMs for automated reliability data reporting; analyze pilot reports and component performance data; document data entry points for Aircraft Health Monitoring applications; perform root cause analysis on fleet performance data; apply data mining techniques to ACMS and FOMAX data; integrate advanced diagnostic and predictive maintenance technologies; review predictive alerts for accuracy; develop tools to transform complex datasets for maintenance organizations; create automated anomaly detection systems; research data for fleet reliability modifications; act as liaison between Engineering, maintenance, and manufacturer teams; process and clean third-party datasets for MIS integration; develop training programs for maintenance and engineering staff; manage access and organization of Skywise objects.
Seniority
Mid-level, hands-on IC
