Senior Data Scientist
Location: Greater Noida, Uttar Pradesh, India
Experience: 7+ Years
Key Requirements
7+ years of experience in Data Science/Machine Learning.
Hands-on experience in PPG/physiological signal processing.
Experience working with large PPG datasets from wearable or medical devices.
Solid experience in ML/DL model development using biomedical waveform data.
Proficiency in Python, NumPy, Pandas, and SciPy.
Experience with regression models, deep learning, and AWS Lambda.
Knowledge of model evaluation metrics (ROC-AUC, Precision, Recall, F1, Sensitivity, Specificity).
Experience with Docker, Kubernetes, AWS, Git, CI/CD, and MLOps.
Key Responsibilities
Develop and optimize AI/ML models for PPG signal analysis.




Build signal preprocessing pipelines (noise reduction, motion artifact removal, baseline correction, normalization).
Perform feature engineering and extract time, frequency, and morphological features from PPG signals.
Train, validate, and optimize ML/DL models.
Build scalable data pipelines for physiological sensor data.
Evaluate models using clinical datasets and optimize them for edge devices and wearables.
Mandatory Skills
Data Science, PPG Signal Processing, Regression Models, Deep Learning, Python, NumPy, Pandas, SciPy, AWS Lambda.

📌 Senior Data Scientist (Noida)
🏢 R Systems
📍 Noida