Predictive Analytics Developer

The Predictive Analytics Developer is responsible for development and oversight of automation and reporting tools within Predictive Analytics. The developer is a cross-functional role that has an in-depth understanding of data science technologies, aircraft engineering, and the Predictive Analytics platform.

Visa Sponsorship Available: No

• Combination of Education and Experience will be considered. Must be authorized to work in the US as defined by the Immigration Act of 1986. Must pass a Criminal Background Check.
• Education: Bachelor’s Degree 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.

• 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.

• 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 SMEs, 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,…