Key Skills: Machine Learning, Statistical Modelling, Python, Data Science, Healthcare domain, Predictive Analysis, NLP, Azure, D3Js, SQL
Roles and Responsibilities:
- Design, develop, and optimize supervised, unsupervised, and reinforcement learning models.
- Implement and fine-tune deep learning architectures using frameworks such as TensorFlow and PyTorch.
- Build and maintain scalable data pipelines and ETL processes for real-time and batch analytics.
- Engineer robust data architectures using Spark, MetaFlow, Databricks, and cloud platforms (Azure, AWS, GCP).
- Create compelling visualizations using Tableau, Power BI, D3.js, or similar tools.
- Ensure solutions adhere to healthcare data standards (HL7, FHIR) and regulations (HIPAA, GDPR, CCPA).
Skills Required:
- Demonstrates strong expertise in machine learning, statistical modelling, and predictive analytics.
- Possesses hands-on experience with Python and data science libraries.
- Shows proficiency in deep learning frameworks such as TensorFlow and PyTorch.
- Applies knowledge of big data technologies including Spark and Databricks.
- Exhibits understanding of cloud platforms such as Azure, AWS, and GCP.
- Demonstrates experience with healthcare data standards and domain knowledge.
- Applies data visualization techniques to communicate insights effectively.
- Shows familiarity with NLP and SQL for data processing and analysis.
- Exhibits strong analytical thinking and problem-solving capabilities.
- Communicates effectively with technical and business stakeholders.
Education: Bachelor's Degree in related field
