Design and implement pre-processing pipelines for signal and time series data.● Build algorithms/models for heart rate, respiration rate, movement detection, andsleep stage estimation.● Develop robust algorithms for real-world noisy environments and validate them againstreference datasets● Conduct feature engineering for sleep-related ML models (time/frequency/waveletfeatures).● Collaborate with firmware and cloud teams to integrate algorithms into on-device andcloud pipelines.● Contribute to internal signal quality, scoring, and annotation tools.You Have● 4–5 years of experience in signal processing/data science/biomedical sensing.● Solid foundation in digital signal processing (filters, FFT, IIR/FIR, wavelets).● Experience with image models(CNN) and sequence/time series models● Proficiency in Python (NumPy, SciPy, mne, neurokit2, pandas, matplotlib,sckit-learn)● Experience with sleep staging, physiological data analysis, or similar time-seriesmodeling.● Comfort with real-world data: noise, motion artifacts, gaps, resampling, and validation.● (Bonus) Experience with embedded signal processing, PyTorch/TF for physiologicalML, or on-device inference.
Job Title
Senior Data Scientist