About the role
Responsible for applying machine learning and statical techniques to help solve complex Technical Operations challenges. Technical Operations Division focuses on maintenance and overhaul of aircraft, aircraft safety, planning and scheduling aircraft maintenance, supply of necessary parts and tools, technical assistance, and strategic support. The role is a part of the Technical Operations Performance and Analytics team within our Technical Operations group. Collaborate with teams across the business to translate their needs or challenges into machine learning or statistical problems. Build predictive forecasting systems to model future performance on known change. Support the development of data products through exploratory data analysis, feature engineering, and model building. Explore and create new datasets, identify key features, and identify new ones to be used in modeling. Effectively communicate complex experiments, models, and analytics outputs with partners in simple and actionable way. Able to communicate the analysis directly with leaders at the airports and within Technical Operations group. Design and manage feature-based datasets in Azure for streamline ML & AI. Other duties as assigned.
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