Data Scientist

Motion Recruitment Partners LLC.
Worcester, MA, United States
6 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Encodings Computational Linguistics Distributed Systems Machine Learning Natural Language Processing Large Language Models Model Validation

Job description

An international developer of professional information products is seeking a Senior Data Scientist for its hybrid Worcester, Massachusetts team. This role will help define the analytical foundations of AI tools that assist users with research, interpretation, and document-driven decision making., Set the analytical direction for AI features from initial discovery through performance review

Develop data and retrieval strategies that help generative models remain grounded in trusted materials

Apply NLP techniques to classification, synthesis, summarization, and interpretation of long-form documents

Build evaluation suites for RAG and agentic systems, including failure analysis and quality monitoring

Work with engineers and architects to translate validated methods into scalable product capabilities, Hybrid schedule in Worcester, Massachusetts

Senior-level influence over AI research methods, model evaluation, and product experimentation

Work on systems serving complex legal and regulatory information needs

Partnership with multidisciplinary teams responsible for data, infrastructure, applications, and user experience

Compensation and benefit specifics will be reviewed with candidates during the interview process

Requirements

Minimum of 8 years of relevant experience in data science, machine learning, computational linguistics, or applied AI

Demonstrated skill applying LLMs and NLP to complex text-based problems

Experience developing retrieval, embedding, and ranking components for RAG applications

Experience with agentic architectures that plan, retrieve information, and complete structured tasks

Understanding of large-scale AI platforms and distributed system considerations

Ability to create rigorous offline and online evaluation plans for AI-enabled products

Preferred Profile

Familiarity with legal, policy, regulatory, or business-information datasets

Relevant bachelor’s degree required; master’s-level education is preferred

History of leading technically complex data science work in an enterprise product environment

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