Avatar for ten3t Healthcare

Clinical quality, wearable, wireless solution for remote health monitoring

Data Science Engineer

₹75,000 – ₹1L
Apply now
Explore bio-statistical methods to identify subtle trends and patterns in wearable sensor data.

Proactively suggest and implement proof-of-concept algorithms to extract value from data.

Implement machine learning methods for predictive analytics.

Research scientific methods in peer reviewed journals to solve biomedical data challenges.

Support the development and maintenance of data infrastructure over the cloud.

Champion best practices in data handling and analysis.

Skills required:

Working experience of basic and advanced analytics methods such as linear regression, hypothesis evaluation, PCA, predictive modeling, etc.

Working experience of machine learning methods such as Neural Networks, Support Vector Machine, Random Forest, etc.

Knowledge of biomedical signals such as electrocardiograms (ECGs) is preferred.

Working experience of time and frequency domain analysis on ECG signals is preferred.

An ability to quickly pick up new statistical methods for experimentation.

An ability to learn new software languages as needed.

An ability to extract value from the open source data science community.

An instinctive understanding of math, probability, statistics, and algorithms.
Software skills required - Matlab, R, Python, SAS.

Experience in reporting and data visualization, using software like tableau is preferred.

Hands on experience will outweigh educational qualifications.

Meet your team

People you would work with in this role

More jobs at ten3t Healthcare

View all jobs