Senior Data Scientist
2 days ago
Design and implement pre-processing pipelines for signal and time series data.
● Build algorithms/models for heart rate, respiration rate, movement detection, and
sleep stage estimation.
● Develop robust algorithms for real-world noisy environments and validate them against
reference datasets
● Conduct feature engineering for sleep-related ML models (time/frequency/wavelet
features).
● Collaborate with firmware and cloud teams to integrate algorithms into on-device and
cloud 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-series
modeling.
● Comfort with real-world data: noise, motion artifacts, gaps, resampling, and validation.
● (Bonus) Experience with embedded signal processing, PyTorch/TF for physiological
ML, or on-device inference.
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