Sr. Data Scientist
About The Position
Everforth ECS is seeking a Sr. Data Scientist to join their team remotely. This position is contingent upon contract award. The role involves designing and optimizing next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes. The ideal candidate enjoys working at the intersection of data science, search relevance, and large language models (LLMs), collaborating with customers and internal teams to deliver intelligent, high-impact solutions. This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases.
Requirements
- 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 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 TS/SCI a U.S. Security Clearance.
- Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).
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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
