Sr. Data Scientist
TALENTHOP LLC
United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Compensation
$180,000.0 - $200,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Computing
Elasticsearch
Query Optimization
Retrieval-Augmented Generation
Large Language Models
Indexer
Information Technology
Job description
- 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.
Benefits & conditions
- Pay Range and Compensation Package: * Salary range: $180,000 - $200,000
About the company
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).
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