Senior Data Scientist - Charlotte Nc

About the role

A senior data scientist is needed for a hybrid position in Charlotte, North Carolina. The role involves creating AI-driven research and decision-support products used in complex legal and regulatory settings.

Responsibilities

• Lead hands-on data science work from problem definition through production validation
• Design RAG pipelines that improve the relevance and accuracy of answers generated from specialized content
• Create models and evaluation methods for legal research, document understanding, and summarization use cases
• Create agent-based workflows that coordinate retrieval, reasoning, and task completion
• Partner with engineering and product teams to deliver scalable, secure, and measurable AI capabilities

Requirements

• 8+ years of professional experience in data science, applied machine learning, or a closely related discipline
• Deep knowledge of natural language processing, large language models, and modern generative AI methods
• Hands-on experience building and evaluating retrieval-augmented generation systems
• Experience developing agentic AI solutions or multi-step model-driven workflows
• Ability to work with distributed AI architectures and enterprise-scale data environments
• Strong analytical programming skills and a track record of moving experimental work into production

Qualifications

• Familiarity with legal, regulatory, compliance, or other document-intensive data domains
• Master’s degree preferred; bachelor’s degree required in data science, computer science, statistics, engineering, or a related field

Skills

• Familiarity with legal, regulatory, compliance, or other document-intensive data domains
• Master’s degree preferred; bachelor’s degree required in data science, computer science, statistics, engineering, or a related field

Benefits

• 6-month contract-to-hire opportunity
• Position details include hybrid work arrangement in Charlotte, North Carolina
• Opportunity to shape enterprise AI products used in professional research workflows
• Highly collaborative work across data science, engineering, and product teams
• Focus on next-generation NLP, LLM, RAG, and agentic AI systems

Pay

• Additional compensation and benefit information will be provided during the interview process

Schedule

• Applicants must be authorized to work full-time in the United States now and in the future

Posted By

Nick Ramler