Allegiant is a national air carrier seeking a Predictive Analytics Developer to develop and oversee automation and reporting tools within its Predictive Analytics function. The role combines data science, aircraft engineering, and predictive maintenance platform expertise to analyze aircraft performance, develop reliability tools, manage data and platform objects, and support maintenance organizations.
Coordinate with OEM (Airbus/Boeing and component vendors) for automated reliability data reporting
Analyze and evaluate pilot reports, delays, cancellations and component performance data to measure aircraft performance for safety and economic impact
Document various data entry points from all Maintenance and Procurement departments that occur outside AIS/TRAX to consolidate and develop electronic forms within Aircraft Health Monitoring applications in order to capture all pertinent information
Perform root cause analysis on data to measure aircraft/fleet performance for safety, reliability, and economic impact, and identify deficiencies in the Maintenance Program and minimize operational risk
Apply data mining techniques against ACMS and FOMAX aircraft data to identify trends and failure patterns that can be used in long term trend analysis to capture future component failures
Integrate and oversee advanced technologies of diagnosis and predictive maintenance (within the Skywise Predictive MX Suite or equivalent platform)
Periodically review predictive alerts for accuracy by reviewing maintenance observations, fault history and component repair reports
Develop tools within the Skywise platform to transform complex datasets into simple tools that can be used by the maintenance organization to improve operational reliability
Create automated anomaly detection systems to identify and act upon resulted analysis and alerts
Research and provide data for the development of modifications to improve Allegiant fleet reliability
Act as a liaison between Engineering SME’s, the maintenance organization and the relevant manufacturer product support and development teams
Process, clean, and transform poorly structured third party datasets into relational objects that can easily integrate with MIS data to automate maintenance planning functions
Develop training programs and documentation for Line Maintenance, Tech Services, MX Control, Engineering, Reliability, and Materials Planning employees utilizing different features and reporting across platforms
Manage access, permissions, and organization of all Skywise objects such as Code Repositories, Datasets, Forms, Reports, Schedules, Recipes, and Templates
Ensure any direct reports understand and apply our Customer Commitment and customer service standards to their daily responsibilities as appropriate
Model Allegiant’s customer service standards in personal actions and when providing leadership direction
Other duties as assigned
Qualification
Required
Combination of Education and Experience will be considered
Must be authorized to work in the US as defined by the Immigration Act of 1986
Education: Bachelor's Degree
Education Details: In Engineering, Computer Science, or related field
Years of Experience: Minimum one (1) year experience in related field
Knowledge of statistical tools and concepts (R, SPSS, SAP) and statistical analysis/modeling, including linear and logistic regression, segmentation, and machine learning
Experience with programming languages including Python
Demonstrated proficiency using SQL (Structured Query Language)
Knowledgeable regarding statistical principles, root cause analysis, and failure mode analysis
Technical knowledge regarding data models, database design development, data mining and segmentation techniques
Strong attention to detail
While performing the duties of this job, the Team Member is regularly required to stand, sit, talk, hear, see, reach, stoop, kneel, and use hands and fingers to operate a computer, key board, printer, and phone
May be required to lift, push, pull, or carry up to 50 lbs
May be required to work various shifts/days in a 24 hour situation
Regular attendance is a requirement of the role
Ability to work in a confined area as well as the ability to sit at a computer terminal for an extended period of time
Some travel may be a requirement of the role
Preferred
Bachelor's degree in Engineering or Computer Science with an aviation related specialization
[A319/A320/737 MAX] Systems knowledge or similar understanding of common aircraft components and technologies
Experience creating applications and analyzing data within the Skywise platform or equivalent
