Senior Data Scientist

5 - 8 years

27 - 37 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

What Youll Do

  • 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.

Nice to Have

  • Prior work with wearables, health tech, or medical devices (Ultrahuman, Dozee,

Fourth Frontier, Muse, Fitbit).

  • Familiarity with BCG datasets, wavelet-based HR/RR detection, or open-source

sleep datasets (PhysioNet, ISRUC, Sleep-EDF).

  • Understanding of biosignal labeling, ML evaluation, deployment and monitoringRole & responsibilities


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