Ford is seeking an Applied Data Scientist for its EVDD team in a hybrid role. You will lead prognostic feature development from concept to vehicle deployment, fusing physics with machine learning to predict degradation and estimate remaining useful life across EV and ICE powertrains.
You will translate models into optimized C++ for on-board ECUs, build high-frequency DSP pipelines, and deploy robust diagnostics using big data tools.
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