Predictive Analytics Developer

Allegiant•Las Vegas, NV

4d•Onsite

About The Position

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

Requirements

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.
Bachelor’s Degree in Engineering, Computer Science, or related field.
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.

Nice To Haves

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.

Responsibilities

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, 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.