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Data Scientist
3 months ago
Job Description :
- Proficiency in Python and R.
- Knowledge of Java, Scala, or other languages may also be beneficial.
- Machine Learning & Deep Learning-Understanding of ML algorithms and frameworks such as Scikit-Learn, TensorFlow, Keras, PyTorch.
- Experience with deep learning architectures (CNNs, RNNs, LSTMs).
- Strong grasp of statistical analysis, probability, and data modelling.
- Familiarity with Electronic Health Records systems.
- Skills in NLP techniques for processing clinical notes and medical literature.
- Experience with cloud services like AWS, Azure for deploying ML projects.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Design, develop, and implement machine learning and deep learning models using Python and R.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Perform data analysis and preprocessing to ensure high-quality input for model development.
- Optimize and fine-tune models for performance and scalability.
- Develop and maintain efficient and reusable code.
- Conduct thorough testing and validation of models to ensure accuracy and robustness.
- Stay up-to-date with the latest developments in machine learning, deep learning, and related technologies.
- Document technical specifications and project progress.
- Experience with deployment of machine learning models in production environments.
- Knowledge of natural language processing (NLP) techniques.