About this opportunity
Resourceful lists this Data Scientist opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
This range is provided by Resourceful. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$150,000.00/yr - $175,000.00/yr
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Job Title: Senior Data Scientist – GenAI & Knowledge Graphs
Location: Seattle, WA, US
Department: AI & Data Science
Employment Type: Full-time
Job Summary
We are looking for a Senior Data Scientist with hands-on expertise in building Generative AI applications using Knowledge Graphs, Graph Databases, and multi-agent systems. The ideal candidate will have strong experience in LLM-driven development, agentic AI workflows, and semantic data modeling using OWL and RDF.
Key Responsibilities
Build and maintain graph-based data pipelines using technologies like Neo4j, Amazon Neptune, or Stardog.
Design and implement knowledge graphs and ontologies using OWL, Protégé, TopBraid, or similar tools.
Integrate knowledge graphs with GenAI pipelines, improving context grounding and retrieval for LLM-based applications.
Develop and orchestrate multi-agent systems using LangGraph, CrewAI, or AutoGen, including agent-to-agent (A2A) communication, memory modules, and reasoning chains.
Leverage MCP servers and agent runtime engines to deploy agent-based GenAI applications for real-world scenarios such as customer support, content synthesis, and document analysis.
Work on RAG architectures involving embedding models, vector stores (e.g., FAISS, Pinecone), and structured semantic layers.
Collaborate with engineers and junior data scientists on project delivery and model deployment.
Write clean, reusable code in Python using ML/LLM frameworks such as LangChain, HuggingFace, and OpenAI SDKs.
Required Skills & Experience
5–8 years of experience in data science, with 2+ years in LLM/GenAI development.
Hands-on experience with GraphDBs (Neo4j, Neptune, TigerGraph) and SPARQL or Cypher.
Proficiency in ontology modeling using OWL/RDF and familiarity with semantic reasoning tools.
Strong experience in building agentic AI applications, including use of LangGraph, AutoGen, or CrewAI.
Understanding of multi-agent communication protocols (A2A), agent memory, and orchestration layers.
Solid understanding of data wrangling, NLP, and embedding models (sentence-transformers, OpenAI embeddings, etc.).
Python proficiency and experience with REST APIs, data processing libraries (pandas, NumPy), and JSON-LD.
Preferred Qualifications
Master’s degree in Data Science, Computer Science, AI/ML, or a related field.
Knowledge of cloud-native deployment is a plus (though not mandatory).
Open-source contributions, blog posts, or internal project showcases in the GenAI/Knowledge Graph space.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Contract
Job function
Job function
Consulting
Industries
IT Services and IT Consulting
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.