

Motion Recruitment
Senior Data Scientist - Worcester, Ma
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Scientist for a 6-month contract-to-hire in Worcester, MA, offering hybrid work. Requires 8+ years in data science, expertise in LLMs, NLP, and retrieval systems, with a relevant degree preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
720
-
ποΈ - Date
August 5, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Worcester, MA
-
π§ - Skills detailed
#Monitoring #Data Science #Datasets #Classification #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Generative Models #ML (Machine Learning) #Scala #Model Evaluation
Role description
Job Opportunity
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.
The position calls for a senior practitioner who can connect data, algorithms, and product behavior. You will develop data science approaches for retrieval-grounded generation, intelligent agents, legal document analysis, and scalable language-model applications while establishing evidence that these systems perform consistently in demanding enterprise settings.
Required Expertise
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 bachelorβs degree required; masterβs-level education is preferred
History of leading technically complex data science work in an enterprise product environment
Responsibilities
What You Will Accomplish
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
Employment Terms
6-month contract-to-hire arrangement
Position Overview
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
Applicants must be authorized for full-time employment in the United States now and in the future.
Posted By: Nick Ramler
Job Opportunity
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.
The position calls for a senior practitioner who can connect data, algorithms, and product behavior. You will develop data science approaches for retrieval-grounded generation, intelligent agents, legal document analysis, and scalable language-model applications while establishing evidence that these systems perform consistently in demanding enterprise settings.
Required Expertise
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 bachelorβs degree required; masterβs-level education is preferred
History of leading technically complex data science work in an enterprise product environment
Responsibilities
What You Will Accomplish
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
Employment Terms
6-month contract-to-hire arrangement
Position Overview
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
Applicants must be authorized for full-time employment in the United States now and in the future.
Posted By: Nick Ramler






