Senior Data Scientist (Machine Learning)
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Summary
Senior data scientist in New Delhi who develops, validates and productionises machine-learning and deep-learning models for time-series and sensor datasets — predictive modelling, forecasting and anomaly detection — with applications in sleep monitoring, stress detection and health analytics.
Role & responsibilities
- Develop and implement machine-learning and deep-learning models.
- Perform feature engineering and analyse complex datasets.
- Build predictive models, forecasting systems and anomaly-detection algorithms.
- Work with time-series data and sensor-based datasets.
- Develop, optimise and validate ML algorithms.
- Work on model deployment and productionisation.
- Collaborate with engineering teams to improve model performance and scalability.
- Explore applications of ML in sleep monitoring, stress detection and health analytics.
Preferred candidate profile
- Develop and implement machine-learning and deep-learning models.
- Perform feature engineering and analyse complex datasets.
- Build predictive models, forecasting systems and anomaly-detection algorithms.
- Work with time-series data and sensor-based datasets.
- Develop, optimise and validate ML algorithms.
- Work on model deployment and productionisation.
- Collaborate with engineering teams to improve model performance and scalability.
- Explore applications of ML in sleep monitoring, stress detection and health analytics.