Senior Data Scientist: GenAI, RAG & Enterprise Search

ECS; Fairfax (VA); On-site; USD 175,000 - 205,000; Full time

Job summary

Everforth ECS in Arlington, VA seeks a Sr. Data Scientist to join our team on a contract award basis. Design and optimize intelligent search and retrieval systems, applying GenAI, RAG, and vector search to enterprise data.

This role emphasizes search relevance, embeddings, and LLM integration while collaborating with customers and internal teams. U.S. citizenship and active Secret clearance are required; some travel may be needed.

Qualifications

• Hands-on experience applying Elasticsearch to search, analytics, or data science use cases.
• Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization.
• Experience with AI-driven solutions in enterprise environments.
• U.S. Citizenship and active Secret clearance required.

Responsibilities

• Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques.
• Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data.
• Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies.
• Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall.
• Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases.
• Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows.

Skills

Elasticsearch

Search relevance

GenAI/LLMs

Data science

Education

Bachelor’s degree in Computer Science or Data Science

Tools

Elastic Certified Engineer

AWS

Azure

GCP

Job description

Everforth ECS in Arlington, VA seeks a Sr. Data Scientist to join our team on a contract award basis. Design and optimize intelligent search and retrieval systems, applying GenAI, RAG, and vector search to enterprise data.

This role emphasizes search relevance, embeddings, and LLM integration while collaborating with customers and internal teams. U.S. citizenship and active Secret clearance are required; some travel may be needed.