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Senior Data Scientist
Senior Data ScientistTalentoj • Delhi, India
Senior Data Scientist

Senior Data Scientist

Talentoj • Delhi, India
22 days ago
Job description

We’re looking for a Senior Data Scientist with hands-on expertise in the end-to-end lifecycle

of machine learning models, from problem formulation and data acquisition to model

deployment and monitoring. You’ll work at the intersection of biomedical signal processing,

machine learning, and sleep science, helping transform raw sensor streams into accurate

metrics like HR, RR, HRV, and sleep stages.

You’ll collaborate with our hardware, firmware, and ML teams to take these algorithms from

Python → embedded firmware → production.

⚙️ What You’ll 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

  • 4–8 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 monitoring
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