Data Scientist - Aviation Intelligence (Remote)

About this role

*“What makes this work exciting is that we are solving real aviation intelligence problems with a team that deeply values curiosity, quality, and innovation.”*

— Shaun Sanislo Head of Research & Data

Position Summary

JETNET is seeking an Aviation Intelligence Data Scientist to help shape the future of aviation data intelligence. This is not a traditional analytics role. It is a strategic, hands-on opportunity for a data scientist who can architect intelligence frameworks, build AI-enabled workflows, and transform vast historical and live aviation data into scalable, production-ready capabilities.

In this role, you will sit at the center of JETNET’s evolution into a modern Data Operations & Aviation Intelligence function. You will partner closely with leadership, engineering, and frontline research teams to develop intelligence models and systems that improve data quality, accelerate researcher workflows, strengthen product innovation, and expand JETNET’s competitive advantage in the aviation intelligence space.

Key Responsibilities:

• Lead the design of JETNET’s post-ingestion intelligence layer, converting raw aviation data into structured, workflow-ready insights
• Build and refine intelligence frameworks such as confidence scoring, inference models, entity resolution, ownership continuity, and relationship strength modeling
• Develop AI-assisted workflows and LLM-enabled tools that surface ranked suggestions, next-best actions, and confidence-weighted recommendations for researchers
• Identify and prioritize high-value data gaps and enrichment opportunities across aircraft, companies, contacts, and related aviation entities
• Design graph-based models and linking strategies to strengthen relationship discovery and reduce duplication across datasets
• Apply process mining and operational analytics to improve the ingest, verification, and publishing lifecycle, reducing bottlenecks and cycle time
• Partner with aviation researchers to build practical, ...