Senior Data Scientist

Role Overview

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.

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