Job Description
Everforth ECS is seeking a Sr. Data Scientist to join our team remotely. This position is contingent upon contract award.
Are you passionate about building intelligent search and retrieval systems and applying GenAI to solve real-world data challenges? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes.
We are seeking a Sr. Data Scientist focused on Search, RAG, and GenAI to support ECS’s Professional Services. 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. You will play a key role in shaping search architectures, advising on best practices, and applying advanced AI techniques to enterprise-scale data sets.
This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases.
Key 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.
Salary Range: $180,000 - $200,000