1. About Our Client:
The organization operates in the cloud, AI, data, and enterprise transformation solutions space. It addresses challenges related to intelligent search and data retrieval, focusing on improving relevance, accuracy, and decision-making outcomes through advanced technologies such as Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG).
2. About the Opportunity:
The Sr. Data Scientist is responsible for designing and optimizing next-generation search and retrieval systems. This role focuses on applying GenAI and large language models to enhance enterprise search experiences. The position contributes by delivering AI-powered search strategies that improve data relevance and user outcomes across diverse environments.
3. Responsibilities:
• Design and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based techniques.
• Apply Retrieval-Augmented Generation patterns to enhance LLM-driven applications with enterprise data.
• Consult with customers to translate business needs into AI-powered search strategies.
• Develop embedding strategies, indexing methods, and query workflows to improve search relevance.
• Evaluate and integrate LLMs and GenAI capabilities into enterprise search use cases.
• Collaborate with data, AI, and platform teams to align GenAI solutions with current systems.
• Provide strategic advice to improve search performance and user experience.
• Lead knowledge-sharing, workshops, and enablement activities related to advanced search techniques.
• Serve as an advisor on emerging trends in AI-powered search and retrieval.
• Stay updated on advancements in Elasticsearch, GenAI, and search methodologies.
4. Requirements:
• Experience applying Elasticsearch to search, analytics, or data science projects.
• Strong knowledge of search concepts such as relevance tuning, indexing, and query optimization.
• Experience with AI-driven solutions in enterprise settings.
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP).
• Ability to communicate complex technical concepts clearly.
• Strong analytical, problem-solving, and communication skills.
• Willingness to travel to customer sites as needed.
• U.S. Citizenship and active Secret U.S. Security Clearance.
• Bachelor’s degree in Computer Science, Data Science, or related field, or equivalent experience.
5. Pay Range and Compensation Package:
• Salary Range: $175,000 - $200,000
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.