Sr. Data Scientist

About Our Client

The organization operates in the cloud, artificial intelligence, data, and enterprise transformation sectors. It addresses challenges related to building intelligent search and retrieval systems and applying generative AI (GenAI) to real-world data problems. The organization delivers solutions that enhance relevance, accuracy, and decision-making outcomes by leveraging technologies such as Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG).

About the Opportunity

The Sr. Data Scientist role focuses on designing and optimizing advanced search and retrieval systems using Elasticsearch and GenAI technologies. This position supports professional services by collaborating with clients and internal teams to develop AI-driven search strategies that improve enterprise data accessibility and relevance. The role contributes to the organization’s impact by shaping search architectures and applying innovative techniques to large-scale data environments.

Responsibilities

• Design, implement, and optimize search solutions using lexical, semantic, and vector-based methods.
• Apply Retrieval-Augmented Generation techniques to enhance large language model applications with contextual enterprise data.
• Consult with clients to translate business needs into AI-powered search strategies.
• Develop embedding, indexing, and query workflows to improve search precision and recall.
• Evaluate and incorporate large language models and GenAI into search and analytics use cases.
• Collaborate with cross-functional teams to integrate GenAI solutions with existing systems.
• Provide strategic advice to improve search performance and user experience.
• Lead technical workshops and knowledge-sharing sessions on advanced search and GenAI techniques.
• Act as a trusted advisor on emerging AI-powered search and retrieval trends.
• Stay updated on advancements in Elasticsearch, GenAI, and search methodologies.

Requirements

• Practical experience with Elasticsearch in search, analytics, or data science contexts.
• Strong knowledge of search relevance, indexing, and query optimization.
• Experience with AI-driven solutions in enterprise settings.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Ability to communicate complex technical concepts clearly to clients and stakeholders.
• Strong analytical, problem-solving, and communication skills.
• Willingness to travel to client sites when required.
• U.S. Citizenship and an active TS/SCI U.S. Security Clearance.
• Bachelor’s degree in Computer Science, Data Science, or related field, or equivalent experience.

Pay Range and Compensation Package

Salary range: $180,000 - $200,000