Senior Data Scientist

Join our team as a Senior Data Scientist, where you will bridge the gap between raw aviation data and the intelligence that powers our AI platform. You will derive new signals from high-throughput, real-time data streams, build and evaluate models across diverse modalities, and partner with engineers to take models from offline analysis into production. You will also work directly with aviation subject-matter experts to turn operational knowledge into features, labels, and evaluation criteria.

• Derive new signals from high-throughput, real-time data streams, inferring complex physical and operational states that are not directly observable in the raw telemetry.
• Build, evaluate, and iterate on models across diverse modalities, including dense time-series, spatial data, and highly noisy, unstructured sequential data.
• Partner with backend and platform engineers to take models from offline analysis into production streaming pipelines, and own their behavior once they are live.

• Strong Python and strong SQL over large analytical datasets
• 2+ years of applied data science or machine learning experience, including models that have run in production
• Able to leverage AI assistants to increase velocity while fully understanding and taking absolute ownership of every model, feature, and analysis you ship
• Experience working with sparse, incomplete, or unlabeled data — weak supervision, programmatic labeling, and building evaluation sets where no ground truth exists
• Experience designing data validation and drift detection for continuously arriving data
• Depth in time-series and sequence modeling
• BS/MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Operations Research, Aerospace Engineering, or a related quantitative field
• Strong communication skills and a collaborative mindset, including the ability to explain methodology and its limitations to a non-specialist audience
• Prior experience or a deep interest in aerospace, aviation, or high-throughput tracking systems — including familiarity with flight telemetry, ATC phraseology, or airspace procedures
• Familiarity with geographic/spatial data processing — projections, spatial indexing, and great-circle geometry
• Awareness of distributed messaging and stream-processing systems (i.e. Apache Pulsar or Kafka, Apache Flink) and columnar or lakehouse analytical storage