Senior Data Scientist
Senior Data Scientist
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Job Description
Location is Woodland Hills CA Mason OH
If Yes provide dates details of account/project
Location - WOODLAND HILLS CAMason OH
Onsite Requirement - onsite need technically strong candidates
Number of days onsite - M-F
JD:
We are hiring a Senior Data Scientist with deep expertise in AI agent architectures LLMs NLP and hands-on development experience with A2A Protocols and Model Context Protocols (MCP). This role is integral in building interoperable context-aware and self-improving agents that interact across clinical administrative and benefits platforms.
Key Responsibilities
Design and implement Agent-to-Agent (A2A) protocols enabling autonomous collaboration negotiation and task delegation between specialized AI agents (e.g. ClaimsAgent EligibilityAgent ProviderMatchAgent).
Architect and operationalize Model Context Protocol (MCP) pipelines that ensure persistent memory-augmented and contextually grounded LLM interactions across multi-turn healthcare use cases.
Build intelligent multi-agent systems orchestrated by LLM-driven planning modules to streamline benefit processing prior authorization clinical summarization and member engagement.
Fine-tune and integrate domain-specific LLMs and NLP models (e.g. medical BERT BioGPT) for complex document understanding intent classification and personalized plan recommendations.
Develop retrieval-augmented generation (RAG) systems and structured context libraries to enable dynamic knowledge grounding across structured (FHIR/ICD-10) and unstructured sources (EHR notes chat logs).
Collaborate with engineers and data architects to build scalable agentic pipelines that are secure explainable and compliant with healthcare regulations (HIPAA CMS NCQA).
Lead research and prototyping in memory-based agent systems reinforcement learning with human feedback (RLHF) and context-aware task planning.
Contribute to production deployment through robust MLOps pipelines for versioning monitoring and continuous model improvement.
Required Qualifications
Master s or Ph.D. in Computer Science Machine Learning Computational Linguistics or a related field.
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 GCP including Kubernetes Docker and CI/CD.
Preferred Qualifications
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.
Employment Type
Full-time
