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# Data Scientist

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Distributed Data Store, Machine Learning, Natural Language Processing, Large Language Models, AI Platforms, Automation Anywhere
- **Published:** August 5, 2026
- **Apply:** https://www.dice.com/job-detail/afcbddb5-b18e-4824-8737-35088ac59d78

## About the Role

At least 8 years of experience applying data science or machine learning to real-world products

Advanced understanding of LLM behavior, NLP techniques, and generative model applications

Proven ability to design retrieval strategies for unstructured and highly specialized content

Experience building AI agents, orchestration logic, or tool-using model workflows

Knowledge of scalable model services and distributed data or AI platforms

Experience defining experiments, benchmarks, and quality measures for production AI systems

Additional Qualifications

Background working with legal information, regulatory content, or another knowledge-heavy industry is beneficial

Bachelor's degree in a relevant technical field is required; a master's degree is preferred

Ability to communicate model tradeoffs and findings to engineering, product, and business stakeholders

## Description

An established enterprise technology company is adding a Senior Data Scientist to its Boston, Massachusetts team. The role follows a hybrid schedule and supports the development of intelligent products for professionals who rely on large volumes of legal and regulatory information.

You will investigate, prototype, and operationalize advanced language-based systems, with particular attention to RAG, autonomous AI workflows, and document intelligence. The ideal candidate combines scientific rigor with practical product judgment and can determine whether an AI system is accurate, useful, and ready for enterprise use., How You Will Contribute

Own data science initiatives from exploratory analysis and prototyping through launch assessment

Construct retrieval and ranking approaches that ground language-model responses in authoritative source material

Build analytical and modeling solutions for case analysis, statutory interpretation, and document summarization

Establish testing frameworks that measure factuality, relevance, robustness, and end-user value

Collaborate with platform teams to integrate data science solutions into secure, high-volume applications

Engagement Details


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