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# Sr. Data Scientist

- **Company:** ECS Corporate Services, LLC
- **Location:** Fairfax, VA, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Advanced Business Application Programming (ABAP), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Elasticsearch, Performance Tuning, Query Optimization, Enterprise Search, Cloud Platform System, Large Language Models, Database Optimization, Generative AI, Information Technology, SAP S/4HANA
- **Published:** September 16, 2026
- **Apply:** https://www.jofdav.com/jobs/59733662-sr-data-scientist

## About the Role

* Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization.
 * Experience working with data science or AI-driven solutions in enterprise environments.
 * Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP).
 * Ability to translate complex technical concepts into clear guidance for customers and stakeholders.
 * Strong analytical, problem-solving, and communication skills.
 * Willingness and ability to travel to customer sites as needed.
*
Must be a U.S. Citizen and have an active Secret U.S. Security Clearance.

 * Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience).

## Description

* 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.
 * Provide strategic recommendations to improve search performance, result explainability, and overall user experience.
 * Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques.
 * Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval.
 * Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies.

Salary Range: $175,000-$205,000