Data Scientist
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Job Description
Data Scientist responsible for analytics and machine learning model development in healthcare SaaS at Provation. Collaborating with teams to improve healthcare outcomes and operational efficiency.
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.
- Apply ethical AI principles, including fairness, transparency, privacy, and bias mitigation.
- Deploy and monitor models in production environments, ensuring scalability and reliability.
- 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).
Requirements:
- Bachelor's degree in computer science, data science, or other relevant field.
- 5-8 years of relevant work experience.
- Experience developing predictive models and working with healthcare data standards.
- Occasional travel may be required.
Benefits:
- Committed to continuous improvement and staying current with industry trends and best practices.
- Work closely with product, engineering, clinical, and compliance teams to deliver integrated, data-driven solutions.
- Share knowledge and mentor team members on data science concepts and tools.
- Ensure solutions adhere to healthcare data standards (HL7, FHIR) and regulations (HIPAA, GDPR, CCPA).
- Stay current with healthcare regulations and data privacy requirements.
- Ensure data quality, integrity, and security throughout the analytics lifecycle.
- Build and maintain scalable data pipelines and ETL processes for real-time and batch analytics.
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