Predictive Analytics Developer

Allegiant Air

Las Vegas (NV)

On-site

USD 95,000 - 135,000

Full time

12 days ago

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Benefits offered by this job

Profit Sharing
Medical/Dental/Vision/Life/Disability
401K with employer match
Flight Benefits
Tuition Reimbursement
Employee Assistance Program
Paid vacation

Job summary

Allegiant Air in Las Vegas is seeking a Predictive Analytics Developer to lead automation and reporting within the Predictive Analytics platform. The role requires cross‑functional work with data science, aircraft engineering, and platform teams to enable proactive maintenance and fleet reliability.

The ideal candidate will have a solid foundation in statistics, Python, and SQL, with at least 1 year of related experience and the ability to work in a fast‑paced aviation environment.

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, or related field.
  • At least 1 year experience in related field.
  • Authorized to work in the US and must pass a criminal background check.
  • Knowledge of statistical tools and concepts (R, SPSS, SAP) and statistical analysis/modeling.
  • Experience with Python and proficiency in SQL.

Responsibilities

  • Coordinate with OEMs for automated reliability data reporting.
  • Analyze pilot reports, delays, cancellations, and component performance data.
  • Develop electronic forms within Aircraft Health Monitoring systems to consolidate data.
  • Apply data mining to aircraft data to identify trends and failure patterns.
  • Develop tools in Skywise to transform datasets for maintenance use.

Skills

Python
SQL
R/Statistical tools
Machine learning
Data analysis

Education

Bachelor’s degree in Engineering/CS

Tools

Skywise
Databases

Job description

Summary

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

Minimum 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.
  • 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.
Preferred Requirements
  • 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.
Job Duties
  • 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.
Physical Requirements

The Physical Demands and Work Environment described here are representative of those that must be met by a Team Member to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.

Office/IT - 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, keyboard, 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. Exposure to moderate noise (i.e. business office with computers, phones, printers, and foot traffic), temperature and light fluctuations. 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.

Essential Services Provider

Allegiant as a national air carrier is deemed an essential service provider during declared national and state emergencies. Team Members will be required to report to their assigned trip or work location during national and state emergencies unless prohibited by local, state, or federal order.

EEO Statement

We welcome all individuals from varied backgrounds and experiences to apply. Our company values the unique perspectives and talents that each person brings to our team.

Equal Opportunity Employer: Disability/Veteran

For more information, see https://allegiantair.jobs

Full Time Benefits
  • Profit Sharing
  • Medical/Dental/Vision/Life/Disability Insurance
  • Medical Travel Reimbursement
  • Legal, Identity and Pet Insurance
  • 401K with an employer match
  • Employee Stock Purchase Plan
  • Employee Assistance Program
  • Tuition Reimbursement
  • Flight Benefits
  • Paid vacation, holidays, and sick time
Part Time Benefits
  • Profit Sharing
  • Medical Travel Reimbursement
  • Legal, Identity and Pet Insurance
  • 401K with an employer match
  • Employee Stock Purchase Plan
  • Employee Assistance Program
  • Tuition Reimbursement
  • Flight Benefits
  • Sick time
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