Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown" and a pay rate of "unknown." Candidates require a Master's or Ph.D. and 7+ years of AI experience in healthcare, focusing on LLMs and NLP, with strong Python skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Woodland, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Cloud #Transformers #Python #NLP (Natural Language Processing) #FHIR (Fast Healthcare Interoperability Resources) #Kubernetes #GCP (Google Cloud Platform) #Hugging Face #Azure #ML (Machine Learning) #Langchain #Docker #Computer Science #Data Science #PyTorch #AI (Artificial Intelligence) #AWS (Amazon Web Services) #SpaCy #Libraries
Role description
We are looking for 10+ profiles please don't apply below than 10+
Any visa is fine except (OPT and CPT ) need PP number for i94 verification
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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.
We are looking for 10+ profiles please don't apply below than 10+
Any visa is fine except (OPT and CPT ) need PP number for i94 verification
..
..
..
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.
