Note: The job is a remote job and is open to candidates in USA. NAVA Software Solutions is seeking a Data Scientist for a healthcare-focused role. The position involves applying statistical methods, machine learning, NLP, large language models, and generative AI to real-world healthcare data, while developing, validating, and deploying production-ready ML/AI solutions and APIs.
Skills
- Healthcare domain Mandatory
- United States
- Strong understanding of statistical concepts, methodologies, and principles , with the ability to apply them effectively to real-world data problems
- Proven experience in model validation , including assessing model performance, robustness, and reliability
- Ability to select and apply appropriate evaluation metrics based on business objectives, data characteristics, and modeling requirements
- Hands-on experience working with Real-World Evidence (RWE) and Real-World Data (RWD)
- Minimum 2+ years of industry experience in Data Science, Machine Learning, or a related field
- Strong expertise in NLP, Large Language Models (LLMs), and Generative AI , with a solid understanding of both underlying concepts and practical implementation
- Experience with modern LLM/agentic AI frameworks , such as LangChain, LlamaIndex, CrewAI , or equivalent technologies
- Strong proficiency in traditional machine learning techniques using scikit-learn, XGBoost , and similar frameworks
- Expert-level Python programming skills , with the ability to develop clean, scalable, maintainable, and well-tested production code beyond notebook-based development
- Experience developing and deploying production-ready ML/AI APIs using FastAPI or comparable frameworks
- Strong knowledge of AWS cloud services , particularly ECS, Lambda, and S3
- Demonstrated ability to contribute to system architecture, technical problem-solving, and end-to-end project ownership , from design and development through production deployment
- Ability to work independently and collaboratively in a fast-paced, remote-first environment, while effectively managing priorities and delivering high-quality solutions
- Familiarity with MLOps and DevOps practices , including Docker, Terraform, Azure DevOps, and GitHub Actions , is highly desirable
Benefits
- Remote work arrangement
Company Overview
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