Jetnet

Role Description 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. - 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, scalable solutions that improve consistency, speed, and data confidence in daily workflows - Lead end-to-end data science initiatives from problem framing through experimentation, validation, deployment, and performance monitoring - Collaborate closely with the CTO and Engineering Team to productionize models and intelligence capabilities within modern data environments - Translate complex findings into clear, executive-ready reporting, dashboards, and recommendations that support strategic decision-making Qualifications - Proven success independently leading end-to-end data science initiatives from concept to production deployment - Strong expertise in AI/ML, including building, evaluating, and optimizing production-grade models and LLM-assisted systems - Experience designing intelligent workflows that blend automation, analyst judgment, and measurable performance improvement - Hands-on experience with graph-based linking, probabilistic modeling, entity resolution, and relationship discovery techniques - Strong operational mindset, with experience using analytics to identify process optimization opportunities and improve workflow outcomes - Experience working with both structured and unstructured data, including OCR and extraction workflows - Advanced proficiency in Python and SQL, with experience in modern cloud data environments and model deployment practices - Strong business judgment and the ability to prioritize work that delivers meaningful product, operational, and customer impact - Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences and executives - Curiosity, ownership, and a builder mentality, with enthusiasm for solving difficult data problems in a specialized industry Requirements - Location: Open to applicants based in the USA with current legal authorization to work. - Compensation Range: $100,000 - $135,000/year Benefits - Remote Work Flexibility: Enjoy a balanced work-life arrangement with remote flexibility, empowering you to deliver your best work from home. - Comprehensive Paid Time Off: We understand the value of rest and recharge, so we offer competitive PTO to support a healthy work-life balance. - Comprehensive Benefits Coverage: With health, dental, and vision benefits, we prioritize your well-being so you can focus on making an impact.

Role Description This role is ideal for someone who enjoys taking ownership and making things work better over time. You’ll help bring clarity to complexity, connect teams, and build systems that scale. If you’re motivated by solving meaningful problems and seeing the impact of your work, you’ll find this role really rewarding. Position Summary: The Data Operations Manager plays a pivotal role in optimizing and scaling JETNET’s data-gathering engine. Acting as the operational backbone of the Data & Research Department, this role ensures that systems, tools, and processes are seamlessly integrated, measurable, and continuously improving. You’ll serve as the key bridge between Research Teams and Engineering Teams, translating operational needs into technical solutions while driving efficiency, visibility, and performance across both manual and automated data workflows. Key Responsibilities: - Lead and evolve the division’s tooling ecosystem, including platforms supporting research and data ingestion workflows - Manage vendor relationships, including renewals, contracts, and roadmap alignment - Define and track KPIs such as ingestion rates, throughput, QA accuracy, and data freshness - Build and maintain dashboards to provide actionable insights and leadership visibility - Partner with Engineering to integrate systems and reduce manual processes - Act as the primary liaison between Data & Research and Engineering teams - Drive change management initiatives, including tool rollouts, training, and adoption strategies - Translate business and operational needs into clear technical requirements and specifications - Monitor system health, identify risks, and ensure operational continuity - Continuously improve processes to enhance scalability and efficiency across the division Qualifications - 4+ years of experience in operations, systems management, revenue operations, or similar roles - Experience working in data-intensive or analytics-driven environments - Strong understanding of systems integration, APIs, and tooling ecosystems - Proven ability to define and operationalize metrics and performance reporting - Experience collaborating cross-functionally with Engineering and technical teams - Excellent problem-solving skills with a focus on process optimization - Strong communication skills with the ability to translate between technical and non-technical stakeholders - Experience with tools like Zendesk or similar workflow platforms is an asset - Highly organized with the ability to manage multiple priorities and projects - Bachelor’s degree in Business, Information Systems, Operations, or related field (or equivalent experience) Requirements - Location: Remote USA - Open to applicants based in the USA with current legal authorization to work without sponsorship. Salary $85,000 - $105,000 Benefits - Remote Work Flexibility: Enjoy a balanced work-life arrangement with remote flexibility, empowering you to deliver your best work from home. - Comprehensive Paid Time Off: We understand the value of rest and recharge, so we offer competitive PTO to support a healthy work-life balance. - Comprehensive Benefits Coverage: With health, dental, and vision benefits, we prioritize your well-being so you can focus on making an impact. Company Description At JETNET, you’ll be part of an innovative company that stands at the forefront of aviation data solutions with a sterling reputation in the industry. Ready to take flight with us? Apply today and become a part of the JETNET Team!

Role Description 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, scalable solutions that improve consistency, speed, and data confidence in daily workflows. - Lead end-to-end data science initiatives from problem framing through experimentation, validation, deployment, and performance monitoring. - Collaborate closely with the CTO and Engineering Team to productionize models and intelligence capabilities within modern data environments. - Translate complex findings into clear, executive-ready reporting, dashboards, and recommendations that support strategic decision-making. Qualifications - Proven success independently leading end-to-end data science initiatives from concept to production deployment. - Strong expertise in AI/ML, including building, evaluating, and optimizing production-grade models and LLM-assisted systems. - Experience designing intelligent workflows that blend automation, analyst judgment, and measurable performance improvement. - Hands-on experience with graph-based linking, probabilistic modeling, entity resolution, and relationship discovery techniques. - Strong operational mindset, with experience using analytics to identify process optimization opportunities and improve workflow outcomes. - Experience working with both structured and unstructured data, including OCR and extraction workflows. - Advanced proficiency in Python and SQL, with experience in modern cloud data environments and model deployment practices. - Strong business judgment and the ability to prioritize work that delivers meaningful product, operational, and customer impact. - Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences and executives. - Curiosity, ownership, and a builder mentality, with enthusiasm for solving difficult data problems in a specialized industry. Location Open to applicants based in the USA with current legal authorization to work. Compensation Range $100,000 - $135,000/year Benefits - Remote Work Flexibility: Enjoy a balanced work-life arrangement with remote flexibility, empowering you to deliver your best work from home. - Comprehensive Paid Time Off: We understand the value of rest and recharge, so we offer competitive PTO to support a healthy work-life balance. - Comprehensive Benefits Coverage: With health, dental, and vision benefits, we prioritize your well-being so you can focus on making an impact. Why Join Us? At JETNET, you’ll be part of an innovative company that stands at the forefront of aviation data solutions with a sterling reputation in the industry.