Detection Data Scientist – Real-World Signals (Hybrid)

Oxford Dynamics is seeking an applied data scientist to build detection on real sensor data, balancing machine learning with deterministic methods. You will select techniques, develop features from AIS and RF signals, and own end-to-end evaluation and model drift governance.

You will work closely with engineers and analysts, integrating data from geospatial platforms like ArcGIS and Palantir Foundry. Hybrid work and meaningful ownership are offered.

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