Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services.
Requirements
- 6+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Master's Degree in Computer Science, Data Science, Statistics, or a related field
- Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- Familiarity with relational database concepts, and SDLC concepts
- Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
Benefits
- Competitive benefits and compensation package
