Lead Data Scientist - Machine Learning/Deep Learning

Experience :

- 5 to 8 years of experience in data science; having healthcare domain expertise is added advantage.

- Prior experience in leading AI projects in healthcare startups, hospitals, or MedTech companies.

- Ability to work in cross-functional teams.

- Ability to publish papers and research findings related to healthcare data science

Technical Expertise :

- Proficiency in Python, R, or other programming languages used for ML and data analysis.

- Hands-on experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Scikit learn).

- Experience with time-series data, wearable/sensor data, or IoT data integration is a plus.

- Strong knowledge of statistics, probability, and feature engineering.

- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for scalable ML pipelines.

Healthcare Domain Knowledge :

- Understanding geriatric healthcare challenges, fall risks, and predictive care strategies.

- Familiarity with Electronic Health Records (EHR), wearable devices, and sensor data.

- Knowledge of healthcare data compliance (e.g., HIPAA, GDPR)

Soft Skills :

- Strong analytical and problem-solving abilities.

- Excellent communication skills to present findings to non-technical stakeholders.

- A collaborative mindset to work with interdisciplinary teams.