Jobs / United States / Allegiant Air LLC
Predictive Analytics Developer
Allegiant Air LLC · 🇺🇸 Las Vegas, NV
Sponsorship verdict
Sponsorship unlikely
Something in the evidence works against sponsorship — see below before you invest time.
- Employer is on a government sponsor recordThe US Department of Labor certified 26 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting mentions sponsorshipThis is the employer’s own statement in the listing.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Allegiant Air LLC paid sponsored hires in similar roles1 certified filing for “Manager, Maintenance Operations & Analytics” (Operations Research Analysts) in NV: $120k–$120k, median $120k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Existing work authorization requiredFrom the posting’s own wording.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
Existing work authorization required — the posting’s wording suggests candidates who already hold work rights. Read the original listing carefully.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Allegiant Air LLC
The US Department of Labor certified 26 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Vacancy-level signal in the employer's own words — stronger than history alone, still not a promise.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Allegiant Air LLC →
About the role
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 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. 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 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, Da