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Senior Data Scientist
Senior Data ScientistTekWissen LLC • WOODLAND HILLS, CA, United States
Senior Data Scientist

Senior Data Scientist

TekWissen LLC • WOODLAND HILLS, CA, United States
30+ days ago
Job type
  • Temporary
  • Quick Apply
Job description

Overview :

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services

Position : Senior Data Scientist

Location : WOODLAND HILLS, CA

Duration : 6 Months

Job Type : Temporary Assignment

Work Type : Hybrid

Job Description :

  • 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.
  • Tek Wissen Group is an equal opportunity employer supporting workforce diversity.

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    Senior Data Scientist • WOODLAND HILLS, CA, United States

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