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# Data Scientist - Aviation

- **Company:** Cignus Consulting, LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Python (Programming Language), Natural Language Processing, Operational Data Store, Sensor Fusion, Speech Recognition, Pytorch, Pandas, Scikit Learn
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/3782710b-4b91-4181-ba0f-44bfbef5b237/data-scientist-aviation

## About the Role

* PhD in machine learning, statistics, aerospace engineering, operations research, or a related field, or an MS with at least 3 years building models against real operational data
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 * Aviation industry background with direct work experience involving the FAA, NASA, airports, airlines, or air traffic management. This can come from ATC, flight operations, airport operations, avionics, or prior aviation research, but it needs to be deep enough that you can tell when a model output makes no operational sense
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 * Strong probabilistic modeling, including Bayesian inference, state-space and sequence models, and uncertainty quantification. We weight calibration more heavily than benchmark accuracy
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 * Demonstrated depth in at least one of the following: time-series or trajectory prediction, speech recognition and NLP, computer vision and multi-object tracking, or sensor fusion and target tracking
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 * Fluency in Python and the modern ML stack (PyTorch, scikit-learn, pandas), with experience on large and imperfect operational datasets, * A disciplined approach to model failure, meaning you characterize how a model behaves when it is wrong and report it early