What are the responsibilities and job description for the Senior Data Scientist position at Data Capital Inc?
Job Details
7 years of experience in applied AI with a focus on LLMs, transformers, agent frameworks, or NLP in healthcare.
Hands-on experience with Agent-to-Agent protocols, LangGraph, AutoGen, CrewAI, or similar multi-agent orchestration tools.
Practical knowledge and implementation experience of Model Context Protocols (MCP) for long-lived conversational memory and modular agent interactions.
Strong coding experience in Python, with proficiency in ML/NLP libraries like Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.
Familiarity with healthcare benefit systems, including plan structures, claims data, and eligibility rules.
Experience with healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI formats.
Cloud-native development experience on AWS, Azure, or Google Cloud Platform including Kubernetes, Docker, and CI/CD.
Deep understanding of MCP VectorDB integration for dynamic agent memory and retrieval.
Prior work on LLM-based agents in production systems or large-scale healthcare operations.
Experience with voice AI, automated care navigation, or AI triage tools.
Published research or patents in agent systems, LLM architectures, or contextual AI frameworks.
